Senior Engineer Team Lead
Lead hardware-in-loop testing strategy to ensure safe interaction between perception, planning and control with vehicle sensors and actuators.
Remote • Pittsburgh, PA, USA
- Full Time
- $125,000 – $167,000/year
- Min. 5 YOE
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Lead hardware-in-loop testing strategy to ensure safe interaction between perception, planning and control with vehicle sensors and actuators.
Oversees accounts payable operations, drives process efficiency, and supports month-end close within a hybrid Boston-based team.
Senior frontend engineer leading web-based map editors and 3D visualizations for large-scale map data with performance-focused design and collaboration with ML teams.
Senior engineer ownership of vision sensors development, validation, and production readiness for autonomous vehicle cameras.
Leads training, evaluation, and deployment of ML-based scene understanding and planning models for robotaxi systems.
Architect and drive the hybrid cloud strategy, defining networking, security and compute abstractions for seamless on-premises HPC and AWS workloads.
Architect distributed systems to scale local cloud apps, ensuring low-latency, reliable real-time services for a growing robotaxi fleet.
Owns test execution readiness, hardware-in-the-loop validation, and real-time system monitoring for autonomous vehicle subsystems.
Leads motion planning and prediction initiatives for autonomous vehicles, guides ML-based behavior models, and deploys solutions across fleets.
Develop and deploy perception models on edge devices, optimize CUDA-based pipelines and implement vision algorithms for autonomous vehicle perception.
Own design release and integration of autonomous vehicle compute hardware, ensuring validation, production readiness, and cross-functional alignment.
Own backend implementation and architecture of visualization tooling, collaborating with ML and frontend teams to deliver scalable, high-performance APIs and services.
Lead test campaigns across perception, planning, and control to validate robotaxi service readiness and reliability.
Lead design and maintenance of scalable backend/frontend test automation frameworks, focusing on API and data pipelines for a fleet operations platform.
Designing and deploying ML-based scene understanding, behavior planning, and evaluation pipelines for autonomous driving.
Lead development of large-scale SLAM-based mapping software using Python and C++, collaborating with cross-functional teams.
Architect and scale fleet management platforms, bridging cloud portals and on-vehicle robotics for global autonomous operations.
Lead test campaigns spanning perception, planning, and control systems across virtual and on-vehicle environments.
Review data from PRE testing and perform Level 1 RCA to improve triage throughput and safety standards.
Lead end-to-end commercial fleet performance, drive multi-market operations, and oversee incident management and cross-functional liaison.
Design, build, document, test, and maintain cloud platform infrastructure for AV fleet with focus on real-time data pipelines and observability.
Architects and operates core data infrastructure and pipelines enabling petabytes of data per month for ML/Autonomy teams.
Own the complete design release of critical vehicle system hardware, including mechanical mounting, alignment, thermal management, electrical interface, and vehicle network integration.
Lead the research and development of novel algorithms and sub-systems for motion planning in autonomous driving, thereby expanding the Operational Design Domain.