Software Engineer Jobs in Santa Clara, CA

Own and architect the L4 trucking fallback stack: define interfaces to perception, planning, control and remote assistance; design degraded driving and minimal risk maneuvers; specify detection algorithms for autonomy degradation; collaborate with cross-functional teams and provide technical leadership and mentorship.

Develop and implement testing frameworks for a Big Data platform, ensure quality through unit tests, and lead end-to-end testing initiatives.

Develop core components of the CUTLASS platform, contribute to the MLIR-based backend compiler stack, and author example kernels while collaborating with GPU architecture teams.

The role involves benchmarking deep learning models on NVIDIA GPUs, improving software performance, and developing automation tools for performance optimization.

Lead the design and development of backend systems for Archer's aviation products, focusing on cloud infrastructure, APIs, and system performance.

The role involves developing automated tests and tools for NVIDIA software, focusing on improving quality and efficiency through Python programming and AI-assisted development tools.

Serve as NVIDIA's CSP-facing principal for end-to-end performance: drive characterization with hyperscaler engineering teams, gather and synthesize workload feedback, prioritize optimizations across CUDA/NCCL/driver/firmware, validate benchmarks and tools, update stress/profiling tooling, define test strategies, and ensure performance integration and acceptance for customer-representative configurations.

Serve as technical lead between NVIDIA and hyperscale CSPs on GPU firmware and system software. Drive firmware update orchestration, recovery procedures, multi-GPU coordination, telemetry/health monitoring, and incorporate CSP feedback into NVIDIAs roadmap to improve fleet-scale manageability and reliability.

Lead technical engagements with cloud service providers on rack-scale system software and firmware. Drive architecture alignment, integration readiness, error handling and recovery, health telemetry, firmware orchestration, and serviceability. Capture CSP feedback, influence NVIDIA system software design, improve tooling and tests, and mitigate execution risks through early collaboration.

Architect and build production-grade AI applications and shared platform services across desktop, mobile, web, and cloud. Lead full-stack engineering, CI/CD, observability, and operational excellence. Build foundations like agent orchestration, memory/context services, evaluation frameworks, telemetry, and workflow execution. Operationalize NVIDIA AI technologies, collaborate with cross-functional teams, mentor engineers, and drive architectural alignment to deliver scalable, reliable enterprise AI products.

Lead development of planet-scale mapping systems from crowdsourced fleet data. Design and implement 3D reconstruction, SfM, pose estimation, sensor fusion, map fusion, change-detection, and production C++ pipelines. Build evaluation, visualization, and debugging tools, and collaborate with perception, localization, and planning teams to integrate high-quality maps into autonomous driving systems.

Design and build scalable, production C++ mapping systems using crowdsourced fleet data. Develop 3D reconstruction, multi-view geometry, pose estimation, sensor-fusion, map-fusion, and change-detection algorithms. Create offline pipelines, evaluation metrics, visualization/debugging tools, and integrate maps with perception, localization, and planning systems to improve autonomy safety and coverage.

Lead design and implementation of agentic workflows, optimization algorithms, and ML/DL solutions for EDA. Research novel ML approaches, develop and maintain software (APIs, C/C++, Python) on Linux, and collaborate with global cross-functional teams. Requires ML/DL framework experience (PyTorch) and LLM/agentic AI understanding.

Lead design and implementation of high-performance distributed storage systems and protocols (object, block, file) for AI infrastructure. Set technical direction, author designs, mentor engineers, integrate with hardware (NVMe, DPUs, GPU-direct), optimize performance, build benchmarking and observability tooling, and drive cross-team deployments and incident response in multi-petabyte data center environments.

Develop, maintain, and debug embedded firmware for the ION robotic bronchoscopy platform. Troubleshoot field issues, perform root cause analysis, collaborate with hardware and test teams, produce regulatory-compliant documentation, and ensure designs meet rigorous medical device quality and safety standards.

Lead end-to-end feature development across the full stack, collaborate with product, design, and customer engineering, mentor and review code for a team of engineers, and incorporate customer feedback to iteratively improve automotive software products.

Lead design and implementation of AI-powered tools and cloud infrastructure to improve Venmo's DevOps and SRE workflows. Mentor engineers, build CI/CD and automation, operate distributed applications, troubleshoot incidents, integrate LLMs into developer tooling, and drive reliability, observability, and responsible AI practices across AWS-based infrastructure.

Lead architecture and optimization of deep learning inference for autonomous driving platforms. Drive end-to-end performance analysis across models, compiler/runtime (TensorRT/Triton), CUDA kernels, memory and scheduling. Develop model optimization techniques (quantization, pruning, fusion), build profiling and benchmarking tools, and collaborate with platform, perception, safety, and silicon teams to deploy efficient, reliable DNNs on NVIDIA automotive compute platforms.

Lead projects and coordinate engineering teams, focusing on scalable backend systems, improving processes, and ensuring alignment with business goals.

The Senior Software Engineer will focus on improving ML software stack performance, optimizing multi-GPU workloads, and resolving customer-specific issues with NCCL and CUDA libraries in data center environments.

Design and develop accelerated and distributed implementations of Python APIs for numerical computing, optimizing performance on various architectures and contributing to technical roadmaps.

The role involves developing software for datacenter integration, managing infrastructure, ensuring reliability, and automating processes. Requires strong expertise in programming, CI/CD, and distributed systems.

Design and implement system-level debugging, validation, and observability platforms. Build automated anomaly detection, visualization and analysis tools, and frameworks for failure classification and regression detection. Extend compilers, runtimes, and instrumentation for advanced profiling. Improve bring-up and low-level debug workflows, partner cross-functionally across hardware, firmware, compiler and runtime teams, lead high-impact initiatives, and support incident response and long-term corrective actions.

As a Senior/Lead Software Engineer, you'll design and build network systems features, manage development processes, and collaborate with engineers and customers. Responsibilities include software development in C, C++, Python, and maintaining hardware drivers, while mentoring junior engineers.

Lead technical projects for product scaling. Design and maintain APIs and services, ensuring reliability and user experience while collaborating with product teams.