Exodigo

Description Exodigo is the leading underground mapping solution for non-intrusive discovery. Our platforms combine multi-sensor fusion, 3D imaging, and AI technologies to create complete, accurate underground maps that enable confident decision-making for customers across the built world. We transform the project lifecycle for our customers, who include key community stakeholders in the utilities, transportation and government sectors. Our customers are the utilities, transportation agencies, and government bodies that build the world's infrastructure — LA Metro, Caltrans, National Grid, Israel Railways, and 100+ teams worldwide. To date we've de-risked $75B in infrastructure investment and mapped 86.1M square feet of ground. We are experiencing sky-rocketing growth and closed a historically large $96M Series B round in July of 2025. Job description Lead the algorithms team within the Geotech group. The team owns the full processing chain, from the raw signal acquired in the field to the output the customer sees: denoising, reconstruction, inversion, detection and characterization of subsurface targets, and quantification of confidence. The data is real field data: noisy, non-ideal, and collected across a diverse sensor suite (GPR, ERT, seismic, EM, magnetometry). This role combines team leadership with hands-on algorithm development, with a strong focus on setting priorities, deciding which directions to pursue or stop, and staying deeply involved in the technical work. This is not management from a distance. Management responsibilities • Translate business needs, customer requirements, and field constraints into a clear algorithmic roadmap with measurable goals and timelines • Set priorities across parallel workstreams, including closing down directions that aren't maturing and freeing the resources tied to them • Protect the team's focus. Shield team members from interruptions and ad-hoc requests that don't serve the roadmap, and manage expectations with the people making those requests • Direct people management: individual goals, ongoing feedback, professional development, hiring and onboarding • Build a measurement culture: define validation methodology, performance metrics, dataset and ground-truth management. Prevent "it looks good" from replacing quantitative proof • Own output quality: code review, engineering standards, reproducibility of results, and documentation good enough to hand work between people • Report status, risks, and decision points to management on an ongoing basis Hands-on engineering • Independently develop and prototype algorithms on the team's hardest problems • Get into the data: analyze failure cases, investigate anomalies, understand what is actually happening in the signal • Work closely with field teams, including going out to the field as needed, to understand noise sources and physical limitations firsthand • Review the team's work at a deep technical level rather than signing off on results Requirements • Proven experience developing algorithms in signal processing, on real physical data (not simulation only) • Strong DSP fundamentals: time- and frequency-domain analysis, filtering, deconvolution, SNR, sampling • Experience with inverse problems and/or reconstruction and imaging (tomography, migration), including handling ill-posed problems and regularization • Full command of Python and the scientific stack (NumPy/SciPy and related), with the ability to write clean, maintainable code rather than one-off scripts • Prior management experience, or at minimum proven technical leadership of several developers and an end-to-end project • Demonstrated ability to make decisions under uncertainty and prioritize between competing directions • Professional-level Hebrew and English Nice to Have • Background in geophysics, or in any field that measures a physical phenomenon through a complex medium (medical imaging, sonar, radar, NDT, seismology, acoustics) • Experience with ML/DL applied to signals and imaging, and the judgment to know when a classical approach is better • Experience taking an algorithm from R&D into production • Familiarity with physical models and forward modeling

Description Exodigo is the leading underground mapping solution for non-intrusive discovery. Our platforms combine multi-sensor fusion, 3D imaging, and AI technologies to create complete, accurate underground maps that enable confident decision-making for customers across the built world. We transform the project lifecycle for our customers, who include key community stakeholders in the utilities, transportation and government sectors. We are experiencing sky-rocketing growth and closed a historically large $96M Series B round in July of 2025. Job description We are looking for a hands-on and highly motivated Senior Corporate Controller to join our growing finance team and take ownership of key accounting and financial reporting processes. This is an opportunity to step into a broad and impactful controllership role within a global technology company, working with complex accounting processes and helping build the financial infrastructure needed to support continued growth. The role offers significant professional ownership and exposure to global operations, US GAAP reporting, audits, tax matters, accounting systems, and the unique accounting challenges associated with internally manufactured operational assets. This position is focused on accounting and financial reporting. Responsibilities: • Take an active role in the preparation of monthly, quarterly, and annual financial statements in accordance with US GAAP. • Own key areas of the month-end and year-end close processes, ensuring accurate and timely financial reporting. • Maintain accurate balance-sheet reconciliations and analyze accounting variances and account movements. • Partner with internal stakeholders to improve accounting workflows and ensure the completeness and accuracy of financial data. • Support external audits, including the preparation of schedules, documentation, and responses to auditor inquiries. • Support global tax compliance and the preparation of tax returns in collaboration with external advisors. • Assist with the implementation of new accounting standards, financial systems, and process improvements. • Help develop scalable accounting processes, controls, and reporting practices to support the company’s continued growth. Requirements • Bachelor’s degree in Accounting and CPA certification. • At least 7 years of accounting experience, post-internship. • Management experience – required • Hands-on experience with month-end and year-end close processes. • Experience preparing or supporting the preparation of financial statements. • Strong understanding of US GAAP and financial reporting principles. • Strong Excel skills. • Excellent analytical, organizational, and problem-solving abilities. • High attention to detail and a strong sense of ownership. • Ability to work independently, manage multiple priorities, and meet deadlines. • Strong communication skills and the ability to collaborate effectively with multiple stakeholders. Nice to Have • Experience in a global, industrial, technology, manufacturing, or operationally complex company. • Experience in an organization with operational or accounting complexity involving inventory, cost allocation, internally manufactured assets, or fixed-asset capitalization. • Experience working with global subsidiaries, external auditors, and tax advisors. • Experience improving accounting processes or implementing financial systems. Learn more https://www.exodigo.com https://www.youtube.com/@exodigo2321

Description Exodigo is the leading underground mapping solution for non-intrusive discovery. Our platforms combine multi-sensor fusion, 3D imaging, and AI technologies to create complete, accurate underground maps that enable confident decision-making for customers across the built world. We transform the project lifecycle for our customers, who include key community stakeholders in the utilities, transportation and government sectors. We are experiencing sky-rocketing growth and closed a historically large $96M Series B round in July of 2025. Job description We are looking for a highly organized, proactive, and service-oriented Office Administrator to join our team at Exodigo. In this role, you will be at the heart of our daily office operations, ensuring a smooth, welcoming, and efficient working environment for employees and visitors. Based at our front desk, you will be the first point of contact for employees and guests, while taking an active role in managing office operations and supporting various administrative needs across the company. The ideal candidate is a hands-on, resourceful team player who enjoys working with people, juggling multiple priorities, and making things happen. Key Responsibilities • Office Operations: Oversee daily office operations, ensuring a clean, organized, well-maintained, and welcoming environment. Proactively identify needs, resolve issues, and keep things running smoothly. • Front Desk & Employee Support: Manage the reception area, welcome visitors, and serve as the main point of contact for employees' office-related needs. • Administrative Support: Provide ongoing administrative support to the HR and Operations teams and coordinate onboarding and offboarding logistics, including workspace and equipment preparation. • Vendors & Purchasing: Coordinate with vendors and service providers, manage office supplies, inventory, and purchasing, and track invoices and related expenses. • Office Logistics: Coordinate deliveries, meeting room arrangements, and other day-to-day office logistics. Requirements • Excellent Hebrew and good English communication skills. • Proficiency in Microsoft Office and Google Workspace. • Excellent organizational skills, attention to detail, and ability to manage multiple priorities. • Proactive, resourceful, and solution-oriented mindset. • Strong interpersonal skills and a genuine service-oriented approach. • Ability to work independently, take ownership, and thrive in a dynamic, fast-paced environment. • Positive attitude, flexibility, and a hands-on, can-do approach.

Description Exodigo is the leading underground mapping solution for non-intrusive discovery. Our platforms combine multi-sensor fusion, 3D imaging, and AI technologies to create complete, accurate underground maps that enable confident decision-making for customers across the built world. We transform the project lifecycle for our customers, who include key community stakeholders in the utilities, transportation and government sectors. We are experiencing sky-rocketing growth and closed a historically large $96M Series B round in July of 2025. Job description • Utility coordination for transportation projects such as roads, railways, including light rail systems, and more. • Working with authorities and various stakeholders, managing processes, and advancing permits and traffic arrangements with municipal and infrastructure bodies. • Coordination with planners, authorities, and utility owners. • Centralizing, monitoring, and tracking projects managed within the department. • Working closely with the Project Manager and providing regular status updates. • Ability to analyze conflicts and propose engineering solutions. • Participating in and leading coordination meetings with external stakeholders. Requirements • Proven experience in utility coordination • Experience and familiarity with working with authorities to advance permits and approvals from utility companies and municipalities. • Familiarity with national infrastructure systems and municipal utility coordination systems (e.g., ECS – Tel Aviv). • Understanding of water, sewage, drainage, electricity, and telecommunications infrastructure. • Ability to read and understand traffic plans (signage, markings, etc.). • Knowledge of execution stages and coordination between disciplines. • Proficiency in AutoCAD, including designing, reading, and interpreting plans. • Proficiency in Office applications. • Ability to manage and advance multiple projects in parallel. • Ability to work under tight deadlines. • High level of organization, accuracy, and ability to work in a multi-stakeholder environment. Learn more https://www.exodigo.com https://www.youtube.com/@exodigo2321

Description Exodigo is the leading underground mapping solution for non-intrusive discovery. Our platforms combine multi-sensor fusion, 3D imaging, and AI technologies to create complete, accurate underground maps that enable confident decision-making for customers across the built world. We transform the project lifecycle for our customers, who include key community stakeholders in the utilities, transportation and government sectors. Our customers are the utilities, transportation agencies, and government bodies that build the world's infrastructure — LA Metro, Caltrans, National Grid, Israel Railways, and 100+ teams worldwide. To date we've de-risked $75B in infrastructure investment and mapped 86.1M square feet of ground. We are experiencing sky-rocketing growth and closed a historically large $96M Series B round in July of 2025. Job description Our Algorithms Team is a highly multidisciplinary group spanning physics, signal processing, computer vision, classical machine learning, and modern AI models, built around problems that don't have off-the-shelf solutions. As an Algorithm Engineer on Exodigo's Algorithms Team, you'll build the algorithms that turn raw subsurface signals into an accurate map — automating and outperforming work that today only geophysicists and civil engineering experts can do. You'll work across the full span of our data: multi-sensor field acquisitions, and the existing record of what's already known underground. The hard part is the fusion — reconciling physics-driven detections with incomplete and contradictory records into a single coherent picture of the subsurface. You'll work directly with our mapping and engineering experts to validate what you build, and with our software team to get it into the production pipeline. Responsibilities • Translate real-world physical and engineering problems into mathematical models and algorithmic solutions. • Design algorithms that fuse heterogeneous sources — sensor modalities with different physics and resolution, alongside vector, raster, tabular, and unstructured data. • Extract structure from noisy signal: detection, segmentation, and interpretation where ground truth is scarce and the physics is only partly cooperative. • Build evaluation methodology alongside the algorithms, so downstream engineers know what to trust and how much. • Partner with the maps analysis team to test, benchmark, and iterate on performance. Requirements • B.Sc. in technical field such as Electrical Engineering, Computer Engineering, Computer Science or similar. • 5+ years of relevant industry experience. • Solid grounding in machine learning, with judgment about when a classical method beats a deep model. • Expertise in graph theory, computational geometry, statistics, optimization, and data analysis. • Strong Python programming skills (Pandas, NumPy, SciPy, PyTorch, etc.). • Versatility in selecting and combining tools to fit the problem at hand. Nice to Have • M.Sc. in relevant field. • Experience in Geo Information Systems (GIS). • Experience working with BIM data and 3D modelling. • Experience applying LLMs to information extraction from unstructured or scanned documents. • Experience in cloud environment development (AWS).

Description Exodigo is the leading underground mapping solution for non-intrusive discovery. Our platforms combine multi-sensor fusion, 3D imaging, and AI technologies to create complete, accurate underground maps that enable confident decision-making for customers across the built world. We transform the project lifecycle for our customers, who include key community stakeholders in the utilities, transportation and government sectors. We are experiencing sky-rocketing growth and closed a historically large $96M Series B round in July of 2025. Job description We are looking for a detail-oriented BIM Modeler with a strong engineering orientation to join our team and take part in drafting, producing, and maintaining engineering models for infrastructure projects- from initial setup through final client delivery. The role involves working with Civil 3D and complementary BIM/CAD tools, adhering to Exodigo standards and required formats, and close collaboration with Mapping and Delivery teams in a multidisciplinary environment. Responsibilities: • Formatting underground utility models in Civil 3D to deliver a clear, readable product to the client in accordance with project requirements. • Full responsibility for implementing models in compliance with Exodigo standards and client-required formats. • Updating, maintaining, and improving existing models based on design changes or project/client needs. • Primary work in Civil 3D and AutoCAD, with preferred familiarity with additional software and tools (InfraWorks, Revit, Bentley, MicroStation). • Ensuring high execution quality, engineering accuracy, and quality control (QA/QC) prior to delivery. • Managing tasks according to approved project schedules (Gantt) and meeting deadlines. • Participating in project meetings and discussions with engineers and map leads. Requirements • Hands-on experience working with engineering/infrastructure models and/or BIM. • Proficiency in Civil 3D and AutoCAD. • Strong spatial understanding and ability to read and interpret engineering plans and drawings. • Ability to work independently with strong organization skills, attention to detail, and a sense of ownership. • Strong teamwork and interpersonal communication skills in a multidisciplinary environment. • Good level of technical English (software interfaces and documentation). Preferred (but not required): • Experience in infrastructure projects (roads, railways, drainage, underground utilities, etc.). • Experience working with Bentley / MicroStation. • Experience working with InfraWorks / Revit . • Familiarity with underground utility locating / SUE (Subsurface Utility Engineering) projects. • Familiarity with QA/QC processes and drafting standards. Learn more https://www.exodigo.com https://www.youtube.com/@exodigo2321

Description Exodigo is the leading underground mapping solution for non-intrusive discovery. Our platforms combine multi-sensor fusion, 3D imaging, and AI technologies to create complete, accurate underground maps that enable confident decision-making for customers across the built world. We transform the project lifecycle for our customers, who include key community stakeholders in the utilities, transportation and government sectors. Our Algorithms group is a highly multidisciplinary group at the core of our data processing and detection capabilities, integrating physics, signal processing, computer vision, classical algorithms, and AI models to meet our unique requirements. Within this group, the Computer Vision Team analyzes above-ground environments from visual and multi-sensor data, and its outputs feed directly into the accuracy and completeness of the maps we deliver. Job description As a Computer Vision Engineer at Exodigo, you will work on problems where imagery meets the physical world. Our systems observe real above-ground environments and have to produce results that are accurate in real-world coordinates — which means the work lives in the transition between 2D imagery and 3D space: reconstruction, localization, depth, registration, and geometric reasoning about what the sensors actually saw. The core of the role is solid computer vision engineering. Detection, segmentation, tracking, and the unglamorous work of making these tasks accurate and robust on messy real-world data are the backbone of what we build. Our stack is modern and constantly evolving — we adopt new methods as the field produces them, and we care more about whether something works on our data than about how new it is. The loop here is short — what you build reaches our mapping experts and makes an impact! Key Responsibilities • Own the development of vision algorithms end to end — from framing the problem using real data, through model design and iteration, to results that meet our accuracy requirements in production. • Develop computer vision algorithms that turn imagery and multi-sensor data into a reliable interpretation of real environments — the scene understanding that our mapping outputs depend on. • Work on the 2D-to-3D problem: geometric reasoning, reconstruction, localization, depth, and registration of visual data to real-world coordinates. • Rapidly prototype, benchmark, and refine models against our own data and accuracy requirements. • Work closely with our Mapping and Engineering experts to validate real-world robustness, and with the Software team to turn prototypes into production-grade systems. Requirements • 4+ years of industry experience developing computer vision and machine learning algorithms. Academic research experience counts in addition to this, not instead of it. • Strong spatial intuition and hands-on experience with the transition between 2D and 3D. This is a core requirement — we expect you to have worked on problems such as navigation, mapping, 3D reconstruction, photogrammetry, localization, depth estimation, or something similar in spirit. • Solid experience with core computer vision tasks such as detection, segmentation, tracking, or registration, including the practical work of making them accurate and robust on real, imperfect data. • Strong understanding of modern deep learning architectures, including transformer-based and multimodal models — how they are built and where each one fits, even if your own hands-on experience has been elsewhere. • Strong proficiency in Python and the standard scientific and computer vision stack: NumPy, SciPy, OpenCV, and PyTorch. • B.Sc. in Electrical Engineering, Computer Engineering, Computer Science, or a similar field. Preferred Qualifications • M.Sc. or Ph.D. in a relevant field. • Experience solving problems that combine text and imagery, such as document analysis. • Experience with point-cloud analysis or LiDAR data. • Experience in aerial, orthophoto, or satellite image analysis, or in geolocation problems. • Familiarity with cloud development environments, particularly AWS.

Description Exodigo is the leading underground mapping solution for non-intrusive discovery. Our platforms combine multi-sensor fusion, 3D imaging, and AI technologies to create complete, accurate underground maps that enable confident decision-making for customers across the built world. We transform the project lifecycle for our customers, who include key community stakeholders in the utilities, transportation and government sectors. We are experiencing sky-rocketing growth and closed a historically large $96M Series B round in July of 2025. Job description About the role Exodigo maps the underground with AI-driven sensing, and our field teams across the United States rely on that technology every day. We are building a follow-the-sun support team so that a US technician always has an expert to turn to, and we are looking for two students in Israel to take the night shifts for the US West Coast. As a Tier 1 Support Specialist you are the first point of contact for our field crews during your shift. You will diagnose and resolve issues with sensors, data synchronization, user access and field applications, and escalate complex cases to our engineering teams with clear, complete information. You start each shift with a structured handover from our US support engineer and close it with a handover to our Israel support engineer, so the crews experience one continuous team. What you will do • Own the support channel for US field crews during your shift and respond to every new request within • Run first-line diagnostics: sensor and device checks, data-sync and upload issues, credential and login blocks, field-app problems • Resolve recurring issues using runbooks and past resolutions; escalate genuine defects to Tier 2/3 with logs, device IDs and steps already tried • Keep every case updated so colleagues in the US and Israel always see its current status • Complete a structured handover at the end of each shift so the next engineer starts with a clear picture • Improve our runbooks and knowledge base by documenting new fixes, so recurring issues are resolved faster over time • Work as a pair with the second student, covering for each other when needed, and take part in weekly team syncs. Requirements Requirements • Second- or third-year student in Computer Science, Software or Electrical Engineering, Information Systems or similar, with at least two years left in your degre • Fluent written and spoken English; you will support American field technicians in real time • Comfortable with the basics of networking, operating systems, log files and web or mobile apps; curious about hardware and sensors • Calm, structured and clear under time pressure, and able to say "I don't know yet, here is what I am doing" • Able to commit to a fixed schedule of three night shifts a week, including one weekend night. • Available for the full three-week onboarding, part of it during Israel daytime. Nice to have • Prior help desk, support or IT experience, including military technical roles • Familiarity with Slack, PagerDuty, Jira or a ticketing tool, and with Python or shell scripting • Interest in geospatial, sensors or field robotics.

Description Exodigo is the leading underground mapping solution for non-intrusive discovery. Our platforms combine multi-sensor fusion, 3D imaging, and AI technologies to create complete, accurate underground maps that enable confident decision-making for customers across the built world. We transform the project lifecycle for our customers, who include key community stakeholders in the utilities, transportation and government sectors. We are experiencing sky-rocketing growth and closed a historically large $96M Series B round in July of 2025. Job description Our Algorithms group is a highly multidisciplinary group at the core of our data processing and detection capabilities, integrating physics, signal processing, computer vision, classical algorithms, and AI models to meet our unique requirements. Our problems are grounded in the physical world: sensor data, engineering drawings, coordinate systems, and the messy reality of infrastructure that was built decades ago and documented inconsistently ever since. We are looking for an Algorithm Developer to join our Algorithms group and work on a new initiative that turns information from beyond our own sensors into geospatial intelligence. This role is for someone with real algorithmic depth who wants to apply it to a problem where the data is messy, the sources are unreliable, and the answer has to be right. The work spans the full path from raw, scattered information to structured intelligence anchored in the real world: finding it, judging what matters, making sense of what it contains, and tying it to coordinates. The sources are inconsistent and the material varies widely in quality and format. Each part is a real algorithmic problem, and none is solved by a single off-the-shelf tool. Knowing which parts suit LLMs and vision-language models, and which are solved far better with geometry, classical computer vision, or a well-chosen heuristic - and being honest about the difference - is the most valuable thing you will bring to this role. Our problems also rarely arrive fully specified. You will often start from a one-line description and an unclear success criterion, in an environment where priorities shift. We are looking for someone who can decompose an amorphous problem, identify what is missing, and go get it - talk to domain experts, dig through data, run a quick experiment - and come back with a sharper definition than the one they were handed. You Will: • Own problems end to end - from an ambiguous initial ask, through problem definition and prototyping, to a system that runs reliably in production. • Build systems that gather information from diverse and inconsistent sources and process it reliably at scale. • Develop methods to judge what is relevant and what is noise, and to measure how much each piece of information can be trusted. • Anchor information extracted from engineering documents and drawings to real-world coordinate systems. • Extract structured data from complex, human-oriented documents, combining classical computer vision, document analysis, and modern LLM-based approaches, with deliberate calls about which fits which part of the problem. • Design evaluation methodologies that measure whether these systems are actually reliable on our data. • Work directly with mapping experts, surveyors, and algorithm researchers to understand real workflows, and turn that understanding into tools people actually use. Requirements • 4+ years of hands-on experience building algorithmic, machine learning, or AI systems that shipped and were used in production. • B.Sc. in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a similar field. • A strong algorithmic background is a hard requirement. We are looking for real depth in at least one of: computer vision, data science, NLP, deep learning, document analysis, or geometry and 3D data. This is the part of the profile we are strict about. • Comfort in a dynamic, loosely defined environment. Problems here arrive amorphous and priorities shift. You should be able to take a vague problem, break it into something tractable, identify what information is missing, and go get it - by talking to domain experts, digging through data, or running a quick experiment. • Strong proficiency in Python, and solid software engineering practices - clean, maintainable code and robust systems, including data pipelines that handle unreliable inputs. • Genuine interest in LLMs and modern AI, and a practical understanding of how they work and where they fail. Production experience is not required - a side project, a prototype, or serious personal exploration is enough, as long as you can walk us through what you built and why. Preferred Qualifications • Experience with problems that combine text and imagery, such as document analysis, drawings, or diagrams, including OCR, layout analysis, and vision-language models. • Experience with geospatial data, GIS, CAD, or coordinate reference systems. • Experience building data collection and processing pipelines over large volumes of unstructured, unreliable data. • M.Sc. or Ph.D. in a relevant field. • Familiarity with cloud environment development (AWS). A note on this role This is deliberately a broad role, and we know that very few people cover all of it. If you have real algorithmic depth and you are seriously curious about applying it to documents, geometry, and the messy reality of infrastructure - even if you have not worked on all of it before - we would like to hear from you. Tell us what you are strong at and what you want to grow into.

Description Exodigo is the leading underground mapping solution for non-intrusive discovery. Our platforms combine multi-sensor fusion, 3D imaging, and AI technologies to create complete, accurate underground maps that enable confident decision-making for customers across the built world. We transform the project lifecycle for our customers, who include key community stakeholders in the utilities, transportation and government sectors. We are experiencing sky-rocketing growth and closed a historically large $96M Series B round in July of 2025. Job description We are looking for a Production Team Lead to run our electro-mechanical assembly line. You will manage a team of 5–10 employees, plan and oversee in-house and outsourced production, and work closely with our Engineering, Procurement and Quality teams. The role reports to the VP Supply Chain. What you'll do: • Plan and manage day-to-day production and assembly, including inventory and schedules • Meet throughout, quality and on-time delivery targets • Lead process improvement and continuous improvement on the production line • Maintain production documentation and ensure workplace safety • Maintain and calibrate equipment, certify employees and work to ESD and IPC standards • Plan capacity, run incoming inspection of components and ship systems to the field Requirements • Practical Engineer (Handasai) in Industrial Engineering and Management, Mechanical Engineering, Electronics or Electrical Engineering • 2+ years of experience in electro-mechanical production or assembly • 1+ years of team management experience • Ability to read mechanical drawings and electrical schematics • Experience with ERP systems and advanced Excel skills • English proficiency Nice to have: • Experience with NetSuite • Experience managing subcontractors and working in a hardware startup

Description Exodigo is the leading underground mapping solution for non-intrusive discovery. Our platforms combine multi-sensor fusion, 3D imaging, and AI technologies to create complete, accurate underground maps that enable confident decision-making for customers across the built world. We transform the project lifecycle for our customers, who include key community stakeholders in the utilities, transportation and government sectors. We are experiencing sky-rocketing growth and closed a historically large $96M Series B round in July of 2025. Job description This is a senior, hands-on production role for an experienced CAD/BIM professional with strong expertise in Autodesk Civil 3D and AutoCAD, specializing in civil engineering drafting, 3D modeling, and BIM workflows. The successful candidate will work closely with engineers, surveyors, and multidisciplinary project teams to transform engineering designs, survey data, and existing-condition information into accurate, coordinated, and client-ready deliverables. :What You Will Do • Create and maintain detailed civil engineering drawings (CAD) and 3D models using Autodesk Civil 3D and AutoCAD. • Develop coordinated BIM deliverables from engineering drawings, survey data, as-built documentation, and other project inputs. • Produce and manage Civil 3D models, including surfaces, alignments, profiles, corridors, grading, pipe networks, sections, and construction documentation. • Create existing-condition models from LiDAR scans and registered point clouds, where applicable. • Translate 2D engineering drawings into accurate and coordinated 3D models, working directly with designers to capture design intent. • Incorporate survey data, point clouds, and subsurface utility information into CAD/BIM models, with an understanding of Subsurface Utility Engineering (SUE) practices and exposure to standards such as PAS128 (UK) or ASCE 38-22 (US). • Update models and drawings throughout the project lifecycle, ensuring accuracy, consistency, and clear version control. • Develop and improve CAD/BIM templates, standards, object libraries, and repeatable modeling workflows. • Coordinate model exchanges and resolve data-quality and modeling issues with multidisciplinary contributors. • Manage assigned tasks independently and deliver high-quality work within project schedules. Requirements • 7+ years of hands-on experience in CAD drafting and 3D modeling, with strong proficiency in Autodesk Civil 3D and AutoCAD, preferably on civil engineering and infrastructure projects. • Proven ability to develop accurate 2D engineering drawings and coordinated 3D BIM models from design drawings, survey information, and existing-condition data. • Strong understanding of civil engineering drawings, survey data, coordinate systems, spatial information, and model setup. • Experience delivering CAD/BIM models and drawings within structured project environments, following established workflows and client standards. • Understanding of BIM standards and delivery requirements, including ISO 19650, BIM Execution Plans (BEPs), and client specifications. • Experience working on infrastructure projects, such as roads, railways, drainage, utilities, land development, or major structures. • Strong QA/QC skills, attention to detail, problem-solving abilities, and the ability to work independentlywhile managing multiple assignments and deadlines. • Ability to collaborate effectively with engineers, surveyors, multidisciplinary project teams, and clients, with good technical English. Significant Advantages • Experience with scan-to-BIM and point-cloud-to-CAD workflows. • Experience incorporating survey data, point clouds, LiDAR, laser scans, or GIS data into Civil 3D and BIM models. • Experience using AI-powered tools to support and optimize CAD workflows. • Familiarity with Bentley Systems software and Autodesk Revit. • Experience with 3D MEP modeling and multidisciplinary BIM coordination. • Experience developing CAD/BIM standards, templates, automation, or production workflows. Learn more https://www.exodigo.com https://www.youtube.com/@exodigo2321

Description Exodigo is the leading underground mapping solution for non-intrusive discovery. Our platforms combine multi-sensor fusion, 3D imaging, and AI technologies to create complete, accurate underground maps that enable confident decision-making for customers across the built world. We transform the project lifecycle for our customers, who include key community stakeholders in the utilities, transportation and government sectors. We are experiencing sky-rocketing growth and closed a historically large $96M Series B round in July of 2025. Job description Our Algorithms group is a highly multidisciplinary group at the core of our data processing and detection capabilities, integrating physics, signal processing, computer vision, classical algorithms, and AI models to meet our unique requirements. Our problems are grounded in the physical world: sensor data, engineering drawings, coordinate systems, and the messy reality of infrastructure that was built decades ago and documented inconsistently ever since. Job Description We are looking for an AI Algorithms Engineer to join our Computer Vision team and bring LLMs and agentic AI into problems that are anything but generic. This role is for someone who wants to keep their algorithmic craft and add to it — not trade it in. The interesting work here sits exactly where modern AI meets geometry, vision, and physical measurement, and it needs someone who is genuinely strong on both sides of that line. The work is varied by nature. It can mean finding and making sense of engineering documents that were written by people for people, anchoring what they contain to real-world coordinates, reconciling spatial data from partial and conflicting sources, or building tools and agents inside the professional software our experts work in — platforms such as Civil 3D and ArcGIS. These are separate problems, not stages of one pipeline, and new ones appear regularly. What ties them together is judgment. Some of these problems are a natural fit for LLMs and agents; others are solved far better with geometry, classical computer vision, or a well-chosen heuristic — and many need both. Knowing which is which, and being honest about it, is the single most valuable thing you will bring to this team. Our problems also rarely arrive fully specified. You will often start from a one-line description and an unclear success criterion, in an environment where priorities shift. We are looking for someone who is comfortable in that space — who can decompose an amorphous problem, identify what information is missing, and then go get it: talk to domain experts, dig through data, run a quick experiment, and come back with a sharper definition of the problem than the one they were handed. Key Responsibilities • Own problems end to end — from an ambiguous initial ask, through problem definition and prototyping, to a system that runs reliably in production. • Design and build LLM-powered systems and agentic workflows that automate complex, multi-step tasks involving spatial data, engineering documents, and professional software. • Combine modern AI with classical approaches — including geometry, computer vision, heuristics, and optimization — and make deliberate decisions about which approach best fits each part of the problem. • Work directly with mapping experts, surveyors, and algorithm researchers to understand real-world workflows and turn that understanding into tools people actually use. • Evaluate and integrate new foundation models, frameworks, and techniques, and design evaluation methodologies that determine whether these systems are genuinely reliable on our data. Requirements • 4+ years of hands-on experience building algorithmic, machine learning, or AI systems that were deployed and used in production. • B.Sc. in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a similar field. • A strong algorithmic background is a hard requirement. We are looking for real depth in at least one of the following areas: computer vision, data science, NLP, deep learning, geometry and 3D data, or signal processing. This is the part of the profile we are strict about. • Genuine interest in LLMs and agentic AI, with a practical understanding of how they work and where they fail. You do not need production experience with agents — a side project, prototype, or serious personal exploration is enough, as long as you can walk us through what you built and why. What matters is that you want this to become a real part of your craft. • Comfort working in a dynamic, loosely defined environment. Problems here arrive amorphous and priorities shift. You should be able to take a vague problem, break it into something tractable, identify what information is missing, and go get it — by talking to domain experts, digging through data, or running a quick experiment. • Strong proficiency in Python and solid software engineering practices, including clean, maintainable code and robust systems. Preferred Qualifications • Experience with multimodal and vision-language models, especially for document understanding, drawings, or diagrams. • M.Sc. or Ph.D. in a relevant field. • Experience with geospatial data, GIS, CAD, or coordinate reference systems. • Experience automating or extending professional software through its APIs or plugin ecosystem. • Familiarity with cloud development environments, particularly AWS. A Note on This Role This is deliberately a broad role, and we know that very few people cover all of it. If you have real algorithmic depth and are seriously curious about LLMs and agents — even if your experience with them so far is a side project rather than years of production work — we would like to hear from you. Tell us what you are strong at and what you want to grow into.

Description Exodigo is the leading underground mapping solution for non-intrusive discovery. Our platforms combine multi-sensor fusion, 3D imaging, and AI technologies to create complete, accurate underground maps that enable confident decision-making for customers across the built world. We transform the project lifecycle for our customers, who include key community stakeholders in the utilities, transportation and government sectors. We are experiencing sky-rocketing growth and closed a historically large $96M Series B round in July of 2025. Job description Warehouse and Inventory Management • Manage warehouse operations, including receiving, storage, picking, packing, shipping and material issuance. • Oversee inventory levels, stock movements, FIFO, expiry dates and storage standards. • Manage material issuance to projects and operational teams. ERP and Data Management • Maintain accurate inventory data in NetSuite, generate reports and support budget control. • Generate inventory, shortage and stock movement reports to support budget control. • Conduct annual inventory counts or as needed. Team Management and Process Leadership • Manage one warehouse associate, including daily supervision, task prioritization and training, while providing hands-on support when needed. • Develop warehouse procedures and drive process improvements, automation and operational efficiency. • Provide hands-on warehouse support when needed, including receiving, picking, packing and shipping. Global Logistics Relationships • Coordinate with international field teams, PMs and logistics coordinators to ensure timely delivery of equipment, customized kits and supplies. • Maintain accurate shipment documentation, track deliveries and provide ongoing updates on inventory availability and shipment status. • Respond to urgent operational needs and adapt logistics solutions to project-specific requirements. International Shipping Management • Manage international shipments, freight forwarders and customs brokers, including quotes, bookings and delivery tracking. • Handle import/export documentation, customs compliance, Incoterms and freight cost control. • Manage dangerous goods and lithium battery shipments in accordance with applicable regulations and certification requirements. Incoming Inspection of Production Components • Perform incoming inspections, including quantity and documentation checks, visual inspections, measurements and functional testing according to engineering specifications. • Handle nonconforming components, NCRs and supplier returns in coordination with QA, Procurement and Engineering. • Release approved components to production through NetSuite, maintain inspection records and monitor supplier quality trends. Requirements • Practical Engineer in Industrial Engineering and Management – mandatory. • At least 2 years of experience in logistics or warehouse management. • At least 1 year of managerial experience. • Experience working with ERP systems. • High level of English (written and spoken). • Ability to read engineering drawings and technical specifications. • Experience with measuring tools (caliper, micrometer, etc.). • Willingness to perform hands-on warehouse work. • Strong ownership, excellent interpersonal skills and ability to work under pressure. Advantages • Experience with NetSuite. • Experience in customs, import/export and international freight forwarding. • Experience in incoming inspection of production components. Learn more https://www.exodigo.com https://www.youtube.com/@exodigo2321