Top Tech Jobs & Startup Jobs

Lead the technical roadmap, architecture, and execution of machine-learning behavior prediction and planning systems for autonomous vehicles. Develop production ML algorithms that generate driving trajectories, guide architecture reviews, collaborate with perception, planning, and research teams, and mentor engineers. The role requires hands-on technical leadership across model development, evaluation, deployment, optimization, and scalable software infrastructure.

Own customer-facing technical program management for a flagship Vehicle OS deployment with a global automotive OEM. Establish milestones, scope, risks, dependencies, governance, KPIs, and escalation processes. Coordinate delivery across multiple engineering teams, serve as the primary customer interface, and ensure integration into the customer’s vehicle program. The role requires automotive technical program management experience, executive-level customer presence, and sufficient technical depth across software vehicle and integration domains.

Own and optimize the legal department’s technology stack, including CLM, privacy, procurement, and ticketing systems. Lead technology evaluations, implementations, integrations, migrations, upgrades, automation, and AI initiatives while ensuring privacy and compliance. Partner with Legal, Finance, Procurement, and IT to improve workflows, manage vendors, track metrics, and deliver training and support. Serve as project manager for concurrent cross-functional initiatives and recommend continuous process improvements.

Manage and mentor software engineers developing reliable, performant simulation products. Partner with product management to build Axion and VehicleSim products, provide technical guidance, prioritize work, uphold software quality, recruit engineers, and serve as technical owner for a revenue-generating product.

Design, analyze, integrate, and validate mechanical systems for self-driving vehicles, including sensor suites, compute assemblies, interiors, test fixtures, and hardware. Perform structural and thermal analysis, quality control, testing, documentation, and cross-functional engineering work. The role emphasizes scalable, manufacturable designs and hands-on fabrication in lab and vehicle garage environments.

Create and maintain high-definition maps for L4 autonomous vehicles using lidar, imagery, point clouds, and 3D spatial datasets. Digitize road geometry and semantic attributes, apply precise mapping specifications, validate revisions, troubleshoot map-related disengagements, and provide feedback on tooling and workflows. Collaborate with software engineers using Git, GitHub, Jira, Google Workspace, and Slack.

Design, build, and operate multi-cluster Kubernetes infrastructure across cloud providers. Develop secure multi-tenant platform primitives, sandboxed execution environments, and scalable infrastructure for AI and distributed workloads. Act as a solutions architect for internal customers, improve developer tooling, debug distributed systems, lead production incidents and postmortems, and mentor engineers while driving platform reliability and security.

Designs and integrates robotic autonomy and vehicle intelligence systems across hardware and software. Responsibilities include deploying autonomy solutions on embedded Linux and UAV platforms, integrating autopilots, sensors, datalinks, and ground stations, troubleshooting system issues, conducting SIL/HIL testing, supporting live flight tests, and collaborating with vendors, autonomy engineers, and defense customers. Frequent travel supports on-site integration and demonstrations.

Build a Physical AI security platform covering threat modeling, cyber risk analysis, intrusion detection, security testing, investigations, and agentic workflows. Develop full-stack features with TypeScript, React, and a typed backend language; integrate web applications, AI agents, and autonomous devices; deploy LLM-powered capabilities; and model relational domains with traceability and durable asynchronous workflows.

Develop software products, features, and tools supporting autonomy development workflows. Work across full-stack, infrastructure, robotics, and graphics systems; collaborate with domain experts and users; solve complex engineering problems; take ownership of technical and product decisions; and build expertise in autonomy technologies. Preferred experience includes frontend and API development, containerization, cluster orchestration, simulation, physical modeling, robotics middleware, and Python, C++, or JavaScript.