Software Engineer Jobs in Santa Clara, CA

This role involves ensuring the quality of autonomous vehicle simulation platforms through coding, developing metrics, and automated regression monitoring. Responsibilities include maintaining simulation systems, debugging validation measures, and collaborating with cross-functional teams.

Author, profile, and optimize CUDA GPU kernels for LLM inference to maximize throughput and minimize latency. Build reproducible microbenchmarks and MLPerf workflows, collaborate across product, hardware, and orchestration teams, lead designs and reviews, mentor engineers, and translate kernel wins into end-to-end model-serving performance improvements.

Lead development of core client systems and engine-level infrastructure in Unity/C#. Diagnose and fix cross-cutting performance issues, upgrade third-party SDKs, evolve build tooling, produce design docs, scope multi-week infrastructure initiatives, mentor engineers, and drive profiling, optimization, and architecture changes to enable future features.

Lead development and migration to a workflow-as-code management plane (Temporal) to provision and operate a global fleet (100k+). Build idempotent, replay-safe workflows, orchestration-ready platform APIs, AI/ML-driven SRE features, and deep telemetry for explainable, auditable fleet operations.

The Software Engineer will build scalable backend services, optimize performance, and mentor peers, focusing on distributed systems development.

Design and implement deterministic, safety-critical motion planners for autonomous vehicles, ensuring safe operation under uncertainty and degraded perception. Collaborate with diverse teams and conduct large-scale evaluations.

Build infrastructure and tools for large-scale E2E autonomy research. Collaborate with AI teams to productionize self-driving software and scale training aspects.

Develop and maintain the Linux kernel in EOS, integrate new CPU support, debug issues, and lead projects. Collaborate with customers and engineers, and mentor junior staff.

Design and improve core libraries and frameworks for a developer ecosystem, enhance infrastructure reliability, and collaborate across teams to boost productivity.

The role involves developing Layer1 software for physical connectivity in networking, working with engineers to create new features, and providing technical leadership and support.

As a Cloud Infrastructure Engineer, you'll enhance deployment, monitor software, and improve CI/CD tooling for large-scale simulations.

Develop a data-oriented frontend UI/UX platform for Defense applications, collaborating with design teams and integrating with systems.

Develop and maintain CPU firmware, BIOS, and Boot Loader software. Collaborate with hardware teams, conduct validations, and mentor junior engineers.

The Software Engineer will work on Command Center and Meeting/Webinar product development, provide mentorship, and establish engineering best practices while designing scalable platforms using cloud technologies.

Contribute to Venmo's cloud infrastructure and DevOps tooling under senior guidance: build automation and IaC, support CI/CD and pipelines, participate in on-call rotations, troubleshoot incidents, write tested code, and collaborate with cross-functional teams to deliver reliable, scalable AWS/EKS-based services.

The Full-Stack Engineer will develop and maintain web applications, translating UI/UX designs into responsive apps, optimizing applications, and writing clean code.

The role requires designing and developing web applications and backend systems, integrating LLMs, and ensuring quality software delivery.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

The Founding Software Engineer will build and enhance crisis-intervention software, focusing on mobile and web applications for government welfare, ensuring compliance and integrating data securely. Responsibilities include feature development, security enhancements, and managing interns.

Support data preparation, labeling, training workflows, and validation processes for machine learning systems. Execute and monitor ML pipelines, organize datasets, and evaluate model performance.

Lead design and implement a global public cloud SRE platform for AI and compute workloads. Own architecture and production engineering for observability, cluster health, remediation, lifecycle, secrets, CI/CD, backup/DR, and automation. Collaborate with cross-functional teams to build scalable, reliable multi-region services and run them in production (on-call).

Design, develop, and verify features for GPU driver architecture, solve performance bottlenecks in drivers for data center and gaming markets, and collaborate globally.

Develop and maintain web-based storage management applications, including Kubernetes operators and CSI plugins, collaborating closely across teams to define APIs.

This role involves developing simulation infrastructure for GPUs, working with software teams, and improving workflows for chip modelers and designers. Responsibilities include coordinating with GPU architects, capturing requirements, and ensuring functional testing of GPUs.

Develop and optimize software for NVIDIA's autonomous vehicle platform, collaborating with teams and providing technical support for productization.