Job Description Our Mapping organization is building national-scale, next-generation mapping systems that move beyond static HD maps toward automated, ML-driven map reconstruction pipelines powered by onboard sensor data. These systems form a critical foundation for localization, perception, simulation, and autonomy at scale. The Role We are looking for a Staff Machine Learning Engineer to serve as a technical leader for automated map reconstruction within our Mapping Engineering team. In this role, you will architect and deliver end-to-end ML and computer vision pipelines that reconstruct, validate, and maintain map primitives (e.g., lanes, boundaries, traffic controls, signs) from large-scale sensor data. Your work will directly power next-generation maps that operate reliably across national deployments and evolving road conditions. This is a hands-on technical leadership role. You will operate with high autonomy, define technical strategy in ambiguous problem spaces, and lead cross-functional efforts spanning Mapping, Perception, Localization, Simulation, and Infrastructure. You will also mentor senior engineers and help raise the ML and CV bar across the organization. What You’ll Do (Responsibilities) - Architect and lead ML-driven map reconstruction systems that operate at national scale using multi-modal sensor data (camera, lidar, radar, vehicle signals). - Design and implement end-to-end pipelines for offline map reconstruction, including data mining, labeling strategies, model training, evaluation, and production deployment. - Define technical strategy and system architecture for next-generation mapping capabilities, balancing ML innovation with robustness, safety, and operational scalability. - Lead the development and adoption of state-of-the-art computer vision and ML techniques (e.g., detection, segmentation, 3D reconstruction, BEV representations) applied to mapping problems. - Own cross-functional technical initiatives, working closely with Perception, Localization, Simulation, and Platform teams to define interfaces, data contracts, and integration points. - Drive technical excellence through design reviews, mentorship, and technical guidance for senior and staff-level engineers across teams. - Diagnose and resolve system-level issues across data pipelines, ML models, and production workflows. - Serve as a Subject Matter Expert (SME) for ML-based mapping and reconstruction within Mapping and across the AV organization. - Contribute to technical roadmaps, hiring, and capability building for ML and CV expertise within the Mapping org. Minimum Qualifications (Must-Have) - 5+ years of experience building and deploying machine learning or computer vision systems in production environments. - Strong foundation in computer vision, machine learning, or robotics, with hands-on experience designing and training ML models. - Proficiency in Python for ML development; familiarity with C++ or other systems languages is a plus. - Experience building large-scale data pipelines for ML, including dataset curation, labeling workflows, training, and evaluation. - Proven ability to lead complex, cross-functional technical initiatives with high autonomy and influence. - BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related technical field, or equivalent industry experience. - Strong systems thinking — ability to reason about end-to-end ML systems, not just individual models. Preferred Qualifications (Nice-to-Have) - Experience with mapping, localization, perception, or robotics systems, particularly in autonomous driving or mobile robotics. - Hands-on experience with 3D perception, BEV representations, or multi-view geometry. - Familiarity with AV sensor data (camera, lidar, radar) and real-world data challenges (noise, drift, long-tail scenarios). - Experience deploying ML models into production pipelines with monitoring, validation, and iteration loops. - Exposure to simulation-based validation, synthetic data, or map change detection workflows. - Experience mentoring senior engineers or acting as a technical lead across multiple teams. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. - The salary range for this role: is $185,100 to $335,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. - Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. - Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. #GM-AV-1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Application and Interview Impersonation Notice: Impersonating another individual when applying for employment, and/or participating in an interview process to assist another individual in obtaining employment, with Precisely Software Incorporated (“Precisely”) is unlawful. If Precisely identifies such fraudulent conduct, then as applicable and to the extent permitted by law, the application will be rejected, an offer (if made) will be rescinded, or the employment will be terminated, and legal action may be taken against the impersonators. Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services. What does this mean to you? For starters, it means joining a company focused on delivering outstanding innovation and support that helps customers increase revenue, lower costs and reduce risk. In fact, Precisely powers better decisions for more than 12,000 global organizations, including 95 of the Fortune 100. Precisely's 2500 employees are unified by four company core values that are central to who we are and how we operate: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents. Learn more about why it's an exciting time to join Precisely! This position is 100% remote anywhere in the US. Overview: Precisely’s Summer Internship Program is a paid, part-time opportunity for undergraduate students actively enrolled in university. This is an 10-week program that begins Monday June 8, 2026 and ends Friday August 14, 2026. This opportunity is 100% remote and you must be located in the United States during the summer internship. The AI Tech Analyst Intern will work closely with the Global Services team. The intern will work at the intersection of AI and enterprise data governance. We build software that helps organizations set up and run data governance programs. You will contribute production code used by real clients. We work with large language models, REST APIs, and modern web frameworks. You will support two active projects that automate work typically done manually by consultants. What you will do: - Create market analysis and industry benchmarking on AI tools and practices - Design and build features for AI-powered data governance applications. - Integrate large language model APIs into existing workflows. - Consume and orchestrate REST APIs from enterprise SaaS platforms. - Contribute across the full stack, including frontend, backend, and database layers. - Extend existing AI workflows into autonomous, agent-driven systems. - Work with SQL databases and ORMs. - Collaborate with senior consultants with regular technical guidance. - Support two parallel projects and manage context switching. What we are looking for: - Degree in Computer Science, AI & ML, or Data Science with an AI major - Hands-on coding ability. You can write working TypeScript or JavaScript without handholding. You've built something — a side project, a class project, a contribution to open source — that you can show us and talk about. - API integration experience. You've consumed REST APIs before. You understand HTTP methods, headers, authentication, JSON payloads, and error responses. You've used tools like Postman, curl, or written fetch/axios calls. - Database fundamentals. You can write SQL, understand schemas and relationships, and have worked with at least one ORM or database client. - Self-starter mentality. Given a goal and access to documentation, you figure things out. You try things, read error messages, search for answers, and iterate. You don't wait to be told what to do next. - Clear communication. You can explain what you're working on, what's blocking you, and what you need. - Experience with SvelteKit or any modern component framework (React, Vue, Angular) - Familiarity with LLM APIs (OpenAI, Anthropic, etc.) or prompt engineering - Experience with data modeling for BI/reporting tools - Experience with building agents with MS copilot and Gamma - Understanding of data governance, data quality, or metadata management concepts - Experience with migration or ETL tooling Program benefits: - Valuable experience related to the degree you are pursuing. - Hands on experience at an established tech company. - Networking opportunities with company leaders around the globe. #LI-REMOTE The personal data that you provide as a part of this job application will be handled in accordance with relevant laws. For more information about how Precisely handles the personal data of job applicants, please see the Precisely Candidate Privacy Notice

Why LeoLabs? At LeoLabs, we’re building the living map of activity in space. Through our proprietary global radar network and AI-enabled analytics platform, we collect millions of measurements daily on more than 25,000 objects in low Earth orbit (LEO). Our radar-powered intelligence protects billions in assets, monitors adversarial behavior, and ensures safe operations for commercial and government missions. We’re not just building technology, we are redefining global security, safety, and transparency in space. As orbital activity accelerates and threats grow more complex, LeoLabs is a trusted partner for Space Domain Awareness, Space Traffic Management, and Satellite Operations for top-tier space operators and allied defense organizations. If you're looking to work on mission-critical challenges at the forefront of aerospace, national security, and AI, your impact starts here. The Opportunity: LeoLabs is seeking a talented individual to join our growing Launch and Orbit Support Team(LOST) as an Astrodynamics Engineer. This role is ideal for a hands-on subject matter expert who is equally comfortable developing algorithms as providing manual orbit support. The LOST team is responsible for supporting for our Launch and Early Operations (LEOP) products, delivering manual orbit determination (OD) support, and providing technical expertise to our Customer Success team. In this role, you will collaborate with a multidisciplinary team to ensure that short-timescale customer needs are met, while ensuring that tools are continually developed and improved to increase efficiency in the future. What You’ll Do: - Combine long-term tool development with rapid, short-term problem solving to ensure LeoLabs systems deliver high-quality orbital states for all objects in LEO, accurate measurements for high-priority targets, and timely analysis of high-interest orbital events. - Develop, maintain, and continuously improve algorithms and workflows supporting manual Orbit Determination (OD), including radar tasking, measurement association, filter tuning, and validation of tracking data. - Monitor and maintain orbit quality across the LEO catalog using internal tools and custom Python scripts. - Participate in the team’s on-call rotation to maintain catalog orbit quality and respond to time-sensitive, anomalous, or high-impact events. - Design, scale, and automate operational support tools to enable reliable real-time operations on large datasets and reduce manual effort. - Define and track Service Level Indicators (SLIs) to quantitatively measure system performance and the impact of operational and algorithmic improvements. - Provide real-time support for Launch and Early Operations (LEOP) products during orbital launches. - Interface directly with satellite operations teams and other customers to tune performance, identify needs, and contribute to the development of new LEOP product features. - Contribute to the creation and maintenance of technical documentation and training materials for orbit support tools and operational workflows. Qualifications - BS. in Astrodynamics, Aerospace, Physics, or a related technical field. - Eligibility for U.S. security clearance. - 3+ years of professional experience in modeling, simulation, and analysis, including space mission analysis and design, astrodynamics, or algorithm development. - Significant, demonstrable experience developing production-quality software using Python or C/C++ and/or Java. - Demonstrated professional experience in orbital mechanics or astrodynamics, including orbit design, analysis, or operations. Preferred qualifications - Experience with Orbit Determination tools, especially using AGI ODTK. - Prior experience in on-call rotations or operational support roles. - Experience across a range of orbit mechanics and astrodynamics topics, such as constellation design, orbital propagation and perturbations, orbital maneuvers, launch vehicle and satellite operations, collision risk and debris analysis, rendezvous and proximity operations, formation flight, or space domain awareness. - Experience with Statistical Orbit Determination. - Experience developing, validating, and deploying nonlinear algorithms for high-reliability or mission-critical systems. - Experience supporting or operating within complex data pipelines or real-time processing systems. - Experience with Optimal Estimation, including nonlinear Kalman Filters. - Demonstrated expertise in linear algebra and statistics. Within 1 month, you’ll: - Complete LeoLabs’ onboarding program to gain a solid understanding of our business, mission, and team culture. - Become familiar with the Launch and Orbit Support Team and how it fits into the broader LeoLabs organization. - Set up your local development environment and gain familiarity with our engineering stack and internal tools. - Understand how our Launch and Early Operations (LEOP) and Orbit Determination systems are supported operationally. - Join the orbit support team’s weekly on-call rotation. Within 3 months, you’ll: - Take ownership of a small-to-medium feature, contributing from design through implementation. - Be fully up to speed on the LeoLabs system architecture. - Actively participate in code reviews and contribute to technical design discussions. - Define a career growth plan in collaboration with your manager. Within 6 months, you’ll: - Have led a LEOP mission and supported multiple data product or orbit support cases. - Interface regularly with the Customer Success team to understand, triage, and resolve support needs. - Successfully deliver your first major project. - Take ownership of additional projects or technical areas. - Support the onboarding and mentoring of newer team members. Within 12 months, you’ll: - Have successfully delivered several impactful projects. - Consistently drive high-impact improvements to orbit support tools and operational workflows. - Participate in the definition and planning of future LeoLabs projects. - Help shape technical direction through design proposals, architectural input, and cross-team collaboration.

• Own ML-driven product features , identifying opportunities through to modeling, deployment, experimentation, and impact. • Partner with Product, Leadership, Growth, and Data Science to determine which problems should (and shouldn’t) be solved with ML, define success metrics, and iterate based on real-world performance. • Design, build, and ship scalable ML systems , including data pipelines, training workflows, and production model serving infrastructure. • Prototype rapidly and iterate regularly , developing repeatable evaluation frameworks, running experiments, and improving models based on results. • Shape our ML architecture and MLOps practices , establishing standards for experimentation, deployment, monitoring, and retraining as we scale. • Drive innovation in Generative AI , exploring how we can best use LLMs and agents to power new user experiences and internal productivity tools. • Provide technical leadership and mentorship , mentoring more junior team members, influencing our roadmap, and raising AI/ML literacy across the company.