Top Tech Jobs & Startup Jobs

Own and optimize the robot onboard compute platform on NVIDIA Jetson: real-time Linux tuning, deploy low-latency neural-network inference (TensorRT, quantization, zero-copy), implement EtherCAT/CAN masters, integrate sensors (IMU, cameras), build deterministic middleware at control loop rate, and develop logging/replay tooling while collaborating with RL/Sim2Real and embedded teams.

Lead system architecture for automotive ECU designs, define verification strategy and traceability, specify verification environments and evidence, align HW, embedded SW, validation teams and suppliers, support OEM/Tier1 reviews, ensure ASPICE Level 2 compliance, manage risks and drive mitigation across teams.

Design, build, and operate a scalable cloud-based data platform and pipelines (batch and real-time). Implement CI/CD, infrastructure-as-code, monitoring, security, and reliability for AWS-based data workloads while collaborating with data teams and stakeholders.

Design and develop software infrastructure and automation for Radar and LiDAR sensor platforms. Build scalable integration tools, automation pipelines, and system-level debugging to optimize performance across software, firmware, and specialized hardware accelerators. Collaborate with cross-functional teams to deliver robust production-ready sensing solutions.

Lead end-to-end physical design for SoC blocks from RTL to GDS: floorplanning, synthesis, place & route, STA, signoff (IR/EM, physical verification, LEC, low-power), and collaborate with front-end and architecture teams to optimize PPA.

Define and implement Linux/PCIe-based OS solutions for connectivity between EyeQ SoCs. Design SW stack for cross-chip communication, co-develop HW/SW with SoC architects, run performance analysis, PoCs, optimizations, and mentor kernel developers.

Design, develop, and deploy deep learning algorithms and semantic understanding engines for HD mapping and automotive perception. Lead end-to-end projects from research and prototyping to training, evaluation, integration, and scalable deployment using large-scale driving datasets. Collaborate across teams to improve model accuracy, robustness, and runtime efficiency.

Define system requirements and high-level designs for mmWave imaging radar embedded software. Lead architecture, resolve complex implementation issues, specify interfaces, identify risks, and participate across all development phases and design reviews while collaborating with architects and stakeholders.

Lead end-to-end physical design for SoC blocks from RTL to GDS: floorplan exploration, synthesis, place-and-route, STA/timing closure, signoff (IR/EM, physical verification, LEC, low-power), and collaborate with front-end and architecture teams to optimize PPA.

Design and optimize algorithms to transform multi-modal sensor data into structured HD map representations. Build scalable mapping pipelines using AI/ML and geometric methods, validate on large fleet datasets, write production-quality code, and collaborate on product-quality computer vision and deep learning solutions for autonomous driving.