Top Tech Jobs & Startup Jobs

Lead applied research and POCs for multi-camera, deep-learning perception systems. Design and implement end-to-end vision and multi-modal learning solutions (detection, tracking, 3D reconstruction, motion prediction) and translate research into validated prototypes for production deployment in autonomous vehicles.

Develop and configure AUTOSAR modules and software components below and on top of the RTE; write design docs, requirements, unit tests; perform integration, debugging (bench and in-vehicle), root-cause analysis, and participate in reviews and customer/OEM meetings.

Perform signal and power integrity simulations and validations for automotive ECUs, optimizing high-speed interfaces and power delivery networks. Collaborate with silicon, hardware, validation, and EDA vendors to diagnose SI/PI issues, run joint measurement efforts, and produce technical reports with actionable design recommendations.

Lead productization of AV perception and fusion algorithms, define requirements and roadmap, set KPIs, collaborate with internal teams and OEMs, support BD and customer onboarding, and maintain documentation to ensure product performance and quality.

Lead global financial reporting, consolidation, and compliance across subsidiaries. Manage quarterly/annual close, SEC filings (10-Q/10-K), audits, SOX controls, tax reporting, and continuous process improvements. Coach and develop the corporate reporting team and partner with senior stakeholders.

Own system architecture for automotive ECU designs: define verification concepts, traceability, and evidence; specify verification environments; align HW, embedded SW, validation teams and suppliers; support OEM/Tier1 reviews; ensure ASPICE Level 2 compliance; manage verification risk and mitigations.

Design and extend an LLVM-based compiler for Mobileye's EyeQ hardware; implement middle-end and back-end optimizations; analyze generated code and benchmarks to improve performance; collaborate with chip architects; perform embedded/firmware-level development and debugging.

Lead product strategy and roadmap for cloud and multi-petabyte data services and AI-native agent products. Own requirements, stakeholder engagement with internal teams and OEMs, cross-functional execution, hands-on validation, release planning, adoption tracking, and product documentation to drive scalable, self-service tooling for engineers.

Develop and enhance UVM-based verification environments and tests for AI/deep-learning hardware accelerators. Write and debug combined UVM and software tests, define coverage metrics and TestPlans, integrate industry-standard VIPs (AXI/OCP/APB), perform waveform debugging with EDA tools, and collaborate with architects, designers, and software teams to deliver comprehensive verification environments.

Develop and deploy state-of-the-art multi-camera vision localization algorithms combining deep learning (Transformers, GNNs, CNNs) with classical geometric optimization to achieve centimeter-level vehicle localization on HD maps. Analyze real driving data, improve robustness across visibility conditions, and own solutions end-to-end from prototype to production.