Top Tech Jobs & Startup Jobs

Supports installation, commissioning, retooling, qualification, and production launch of prismatic machining and assembly equipment. Coordinates suppliers, contractors, plant teams, and engineering stakeholders; manages execution plans, safety reviews, capability studies, equipment runoffs, production readiness, engineering changes, and PPAP documentation. Resolves equipment and process issues using structured, data-driven problem solving while ensuring safety, quality, throughput, and process-control requirements are met.

Performs occupant crashworthiness CAE simulations for frontal and side impacts, including restraint development and performance integration. Leads vehicle safety projects, recommends design solutions, optimizes performance using statistical and advanced CAE methods, and compares simulation results with physical crash tests. Collaborates with engineering, suppliers, manufacturing, and global program teams to meet safety targets, resolve issues, and communicate vehicle performance status.

Lead development of advanced inverter and power electronics hardware for electric vehicles. Design analog and digital circuits, high-voltage PCBs, magnetics, and fast-switching power stages. Perform signal and power integrity, electromagnetic, thermal, and worst-case analyses; optimize layouts for manufacturability, EMC, reliability, and performance. Collaborate with systems, mechanical, manufacturing, suppliers, and engineering teams through validation and production readiness.

Develop and mature advanced automotive display optics, cover glass, coatings, optical films, and bonding technologies. Define requirements, lead supplier proof-of-concept evaluations, establish optical characterization and benchmarking methods, analyze performance data, resolve optical defects, validate solutions under automotive reliability conditions, and support technology transfer into sourcing and production programs.

Design, build, and operate scalable hybrid human/machine data labeling platforms for autonomous vehicles. Own end-to-end projects, define platform roadmap, integrate ML-driven annotation, build high-performance UIs/APIs, and collaborate across ML, product, and operations to improve labeling quality and velocity.

Lead development and validation of optical film stacks and light-management technologies for automotive LCD and OLED displays. Evaluate films, polarizers, coatings, and bonding technologies; perform optical simulations and measurements; analyze brightness, contrast, glare, reflections, uniformity, and related performance data; collaborate with suppliers and display manufacturers; and mature validated optical solutions for production vehicle display programs.

Leads development of behavior validation products for autonomous vehicle software, including dashboards and scorecards. Partners with engineering, safety, product, and AI teams to define roadmaps, prioritize improvements using data-driven analysis, and deliver scalable, reliable validation tools. Implements Python-based technical solutions connecting data pipelines to user interfaces and supports AV launch and release decisions.

Design, implement, benchmark, and optimize CUDA-based GPU kernels and custom operators for on-vehicle ML inference. Build tooling for profiling and debugging, integrate kernels into the ML runtime, collaborate with compilers and architecture teams, and deliver high-performance, production-grade libraries meeting strict latency, throughput, and reliability targets.

Design and build scalable, reliable ML training infrastructure for advanced AI research and model development. Optimize distributed training performance, resource utilization, data loading, and costs across heterogeneous GPU and cloud environments. Improve platform observability, debuggability, operational excellence, and user experience. Collaborate with ML engineers, research scientists, and cross-functional partners to integrate new technologies supporting intelligent driving systems.

Build and operate full-stack vehicle software integrity systems using Next.js and Go. Develop data visualizations and dashboards, extend shared component libraries, collaborate with product and design teams, and ensure code quality through testing, reviews, debugging, and performance analysis. The role requires technical ownership, architectural decision-making, cross-functional communication, mentoring, and effective delivery amid changing priorities.