Top Tech Jobs & Startup Jobs

Build scalable distributed systems and ML infrastructure for Neural Simulation, including data pipelines, simulation workflows, storage, model training, evaluation, inference, and observability. Develop backend services that transform real-world driving data into high-fidelity simulation environments and labeled datasets. Collaborate with infrastructure, autonomy, research, and product teams while owning features from design through deployment.

Advance learning-based 3D reconstruction for photorealistic simulation environments using Gaussian Splatting, NeRFs, and related computer vision techniques. Develop dynamic scene reconstruction, novel view synthesis, multi-sensor rendering, scalable feed-forward models, evaluation benchmarks, and production-quality ML systems. Collaborate with research, infrastructure, autonomy, and product teams while solving customer challenges and influencing architecture.

Develop and productionize diffusion and video generation models for realistic, controllable autonomous-driving simulation. Build multi-camera generation, scenario augmentation, neural reconstruction, scalable training and inference, and evaluation benchmarks. Collaborate with research, infrastructure, autonomy, product, and customers to deliver generative simulation capabilities and influence technical architecture.

Manage full-cycle accounts payable, government contract job costing, cost allocations, subcontractor invoice reviews, travel expense audits, per diem compliance, tax accruals, fixed assets, and month-end close. Ensure FAR/DFARS compliance and audit readiness, support DCAA/DCMA audits, prepare tax filings, and improve AP and job-cost processes. Collaborate with project management, procurement, and contracts teams to validate costs and accruals.

Develop high-performance controls modules for autonomous off-road vehicles and mobile robots. Characterize vehicle dynamics, reduce simulation-to-reality gaps, and apply nonlinear MPC, MPPI, numerical optimization, and physics-based methods. Test controls on production-grade vehicles, collaborate with customer engineers, and manage customer relationships. Preferred experience includes safety-critical C++, optimization solvers, machine-learning-based dynamics modeling, and large industrial off-road vehicles.

Senior individual contributor to define and deliver enterprise IAM strategy: design resilient IDP architecture, enforce Zero Trust and least-privilege, automate identity lifecycle, implement RBAC/PAM/secrets management, enable SSO and authentication protocols, govern access for human and machine identities including AI agents, and partner cross-functionally to meet security and audit requirements.

Leads day-to-day HD mapping operations for autonomous vehicle systems, managing specialist workloads, production schedules, map quality standards, issue triage, and release validation. Coordinates with engineering, simulation, field operations, and safety teams to resolve map issues and improve coverage. The role includes mentoring technical contributors, maintaining triage processes, analyzing field and sensor data, and using mapping and data tools to support high-throughput production workflows.

Leads and grows a firmware engineering team building foundational embedded systems for an automotive Vehicle OS. Responsibilities include architecture, development, code reviews, debugging, hardware integration, platform bring-up, sensors integration, RTOS and Linux kernel development, hardware abstraction layers, and cross-functional delivery of safety-critical vehicle software.

Own day-to-day execution for customer Vehicle OS programs, including Jira backlog health, defect and blocker management, release scope tracking, requirements traceability, milestone readiness, and recurring reporting. Coordinate with customer and engineering teams, maintain Confluence documentation, support integration and testing activities, and close follow-ups across distributed teams. The role also emphasizes automating reporting and analysis while developing toward full technical program ownership.

Build and deploy autonomy software for unmanned aerial vehicles, integrating embedded Linux systems with autopilots, datalinks, sensors, navigation systems, and ground control stations. Perform hardware-software integration, SIL/HIL testing, system bring-up, troubleshooting, field flight testing, and customer demonstrations. Collaborate with autonomy engineers, defense customers, and UAS vendors to deliver dependable vehicle intelligence capabilities.