Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Design and debug software for embedded devices, working closely with hardware teams to optimize performance and deliver reliable systems.

The role involves porting and validating workloads on new platforms, creating benchmarks and stress tests, and improving performance in AI systems.

As a Forward Deployed Engineer, you will lead government AI model deployments, design full-stack systems, and ensure successful integrations and relationships with public sector stakeholders.

The role involves developing distributed systems software in Rust and Python, optimizing performance, reliability, and overseeing large-scale machine learning workloads.

Design, implement, and debug core platform software components, focusing on performance, security, and system debugging to deliver production systems.

Partner with enterprise customers to define AI strategy, prototype and productionize Generative AI applications using OpenAI APIs. Provide technical guidance, design enterprise architectures, manage stakeholder relationships, scale best practices, contribute to open-source resources, and deliver product and research feedback.

Build end-to-end, AI-powered consumer experiences across frontend, backend, and real-time personalized systems. Prototype and ship multimodal interfaces combining text, images, and interactive UI components. Collaborate with design, research, product, and model teams to iterate using user feedback and metrics while defining architecture and engineering standards.

Partner with enterprise customers to design, build, and deploy production AI systems. Hands-on engineering: prototype, integrate, evaluate, and scale solutions while addressing reliability, latency, cost, safety, security, governance, and operational readiness. Produce reusable tooling, architectures, and guidance to accelerate deployments and drive measurable business outcomes.

Research and develop memory and personalization for frontier models: design experiments, build datasets and evaluations, implement and debug research code, and collaborate with research and product teams to deploy personalized agent capabilities.

Design and implement end-to-end mitigations for model-enabled cyber misuse, integrate safeguards across product surfaces, evaluate trade-offs, collaborate with threat modeling partners, and execute rigorous testing and red-teaming to iterate on the mitigation stack.