Top Tech Jobs & Startup Jobs

Senior individual contributor who designs and builds secure engineering services, implements SAST/DAST/fuzzing/runtime/OS hardening, conducts secure code reviews, authors reusable security patterns, partners with product teams, mentors engineers, and builds custom security tooling to scale secure software and systems across embedded, mobile, and backend products.

Lead supplier automation assessments and develop automation maturity strategies to optimize material handling and flow. Facilitate workshops, drive cross-functional alignment with sourcing and industrialization, mentor junior staff, present recommendations to leadership, and continuously improve GM's supplier evaluation processes using data-driven analytics.

Lead the design and deployment of AI agents, mentor engineering teams, and drive technical strategy and architecture for scalable AI systems.

Lead product definition and roadmap for internal web tools that surface and audit autonomous vehicle log events. Partner with engineers, data scientists, safety, and operations to translate complex AV workflows into requirements, prioritize features, improve reviewer productivity, define success metrics, and deliver scalable, reliable visualization and triage tooling.

Lead technical direction for GM's MBFF platform and core microservices. Design scalable APIs and integrations (REST, GraphQL, WebSockets, event-driven), drive DevOps/CI-CD and observability standards, champion AI-enabled operational tooling, guide architecture and production readiness, mentor senior engineers, and align platform strategy with product, security, and SRE teams.

Lead development and implementation of AI governance for vehicle motion software. Derive processes from automotive safety standards, classify AI elements, manage tool qualification and TCL, integrate governance into SDLC, run gap analyses, maintain AI inventories, produce audit-ready artifacts, train engineers, and align VMEC with enterprise AI policy and evolving standards.

Lead research and development of vision-language and vision-language-action foundational models for autonomous driving, focusing on multimodal alignment, onboard model optimization (quantization, pruning, distillation, compilation), real-time deployment on vehicle edge hardware, cross-team integration with perception and planning, mentoring engineers, and publishing/patenting research.

Design and deliver high-quality in-vehicle user interfaces (instrument clusters, touchscreens, HUD), produce interaction designs, prototypes and production specs, collaborate with designers, researchers, engineers and stakeholders, and present and iterate designs to ensure implementation aligns with design systems and product goals.

Lead design, development, and deployment of real-time state estimation, localization, and multi-sensor calibration solutions for onboard autonomous vehicles. Architect scalable, robust, safety-critical systems, mentor engineers, drive cross-functional integration, and shape technical roadmaps from concept through validation and production.

Technical lead for end-to-end ML and CV pipelines to reconstruct, validate, and maintain map primitives from multi-modal vehicle sensor data. Architect scalable offline and production map reconstruction systems, define technical strategy, drive cross-functional integration, mentor senior engineers, and ensure robustness, safety, and operational scalability for national-scale mapping.