Top Tech Jobs & Startup Jobs

Design and deploy large-scale multimodal perception foundation models for autonomous vehicles. Build end-to-end ML training, evaluation, and deployment pipelines, optimize models for runtime and hardware, collaborate across Perception, Planning, Simulation, and Infrastructure, and apply rigorous scientific methods to deliver production-ready, safety-conscious perception systems.

Manage the AI Tooling engineering team, define vision for AI technologies, ensure feature delivery, improve engineering excellence, and handle technical challenges.

Lead a global team of 40+ to manage corporate network, server, productivity tools, and MDM. Define roadmaps, metrics, budgets, enforce quality/testing standards, drive security-first culture, mentor engineers, and collaborate across organizations to deliver reliable infrastructure and developer productivity tools.

Design and implement Arene SDK components and hardware-agnostic abstraction layers using modern C++ for embedded, resource-constrained automotive systems; collaborate with global teams to improve emulation, testing, and software delivery.

Develop and refine Arene SDK components and hardware-agnostic abstraction layers using modern C++ for embedded, resource-constrained automotive systems. Collaborate with global teams to accelerate software delivery, ensuring safety, quality, and robust integration with vehicle systems.

Develop HMI control applications for advanced driver assistance systems, lead projects, define requirements, conduct evaluations, and ensure software quality.

The role involves designing and operating cloud-based simulation execution pipelines, collaborating with teams to enhance development efficiency and managing CI/CD workflows.

Build and maintain ML platform tooling and pipelines for perception, prediction, and planning. Enable dataset curation, distributed training, evaluation, and deployment (cloud and edge). Optimize tooling, collaborate with ML teams, review code, and drive long-term platform strategy while working in a hybrid Palo Alto environment.

Design, own, and lead end-to-end data architecture and pipelines for large-scale multimodal fleet and simulation data. Build canonical datasets, SLAs, monitoring, and self-serve tools to support ML-based motion planning. Mentor engineers, set organization-wide data engineering standards, prototype architectural bets, and collaborate across teams to deliver reliable, discoverable data products.

Lead the development of B2B service solutions at Woven City, translating client needs into scalable technical specifications while collaborating with cross-functional teams and ensuring stakeholder alignment.