Top Tech Jobs & Startup Jobs

Develop software frameworks for on-vehicle communications, execution, diagnostics, monitoring, and autonomous vehicle fleet operations. Build communication libraries, network metrics systems, data-flow visualization tools, and runtime AV health monitoring. Ensure autonomous functionality is performant, reliable, repeatable, and testable while implementing infrastructure that supports high-performance autonomy components at fleet scale.

Develop and deploy computer vision and machine learning solutions for autonomous vehicle perception, including object and signal recognition. Build production software in Python and C++, integrate models with vehicle systems, process camera and LiDAR data, and create testing and evaluation tools. Train, optimize, and analyze AI models, debug algorithms, improve inference performance, and research emerging technologies for safer autonomous driving systems.

Design, build, and maintain a web-based semantic map annotation editor and 3D visualizations that handle terabyte-scale map data. Optimize performance, automate map generation, integrate with ML teams, write design docs, resolve issues, and improve user workflows for efficient map editing and validation.

Investigate and diagnose complex autonomous vehicle behaviors across on-road, simulation, and HIL environments. Perform cross-subsystem root-cause analysis across perception, prediction, localization, planning, controls, and vehicle systems. Analyze telemetry and logs with Python, develop diagnostic tooling, build performance dashboards, identify failure modes, and translate technical findings into actionable engineering resolutions and executive-level summaries.

Develop and own customer-facing and internal visualization solutions for autonomous vehicles. Responsibilities include architecting and implementing visualization systems, collaborating with autonomy, perception, and mapping teams, improving automated UI testing, and driving performance, scalability, and maintainability. The role also involves designing experiences for complex data-heavy workflows, shipping iteratively, working directly with customers, and mentoring engineers.

Own end-to-end delivery of complex autonomous vehicle testing programs across simulation, closed-course, and public-road modalities. Coordinate engineering teams, regions, development and V&V cycles, schedules, resources, risks, and release readiness. Establish OKRs and KPIs, report to executives, resolve cross-functional conflicts, refine processes, mentor team members, and support hiring. The role requires strong technical judgment, independent execution, clear communication, and consensus-building across business and engineering stakeholders.

Leads validation strategy, planning, automation, and execution for autonomous vehicle perception, planning, control, and mechatronic systems across simulation, SIL, HIL, closed-course, and public-road environments. Develops test infrastructure, analyzes logs, supports root-cause investigations, ensures safety and compliance traceability, mentors engineers, and drives release readiness and cross-functional quality initiatives.

Designs and executes autonomous vehicle test campaigns across simulation, hardware-in-the-loop, closed-course, and public-road environments. Develops test plans, automation scripts, synthetic and log-replay scenarios, and performs data analysis, fault injection, hardware debugging, and systems integration testing. Collaborates with engineering and safety teams to investigate root causes and validate perception, planning, control, and safety-critical features against industry standards.

Owns executive reporting for autonomous vehicle system performance, including the weekly Software Performance Review and broader commercial readiness analyses. Synthesizes robotics data, diagnostic evaluations, and performance metrics into strategic narratives for senior leadership. The role aligns cross-functional engineering data, automates reporting pipelines and presentation generation, establishes visualization standards, and mentors junior engineers. It requires deep knowledge of robotics, autonomous vehicle performance, data architectures, executive communication, and AI-assisted development workflows.

Own executive reporting and data strategy for autonomous vehicle system performance. Lead the weekly Software Performance Review, develop board-level reporting, analyze robotics and autonomy metrics, translate technical findings into strategic recommendations, and establish data visualization standards. Partner cross-functionally across engineering and performance teams, create data-driven feedback loops, and mentor Business Analytics and Business Intelligence engineers.