Software Engineer Jobs in Sunnyvale, CA

The Principal Software Engineer - Robot Software leads architectural design, mentors engineers, and influences technical strategy for autonomous vehicle capabilities at Wayve.

The role involves building data-driven features for a menu management platform, designing backend services, and improving system scalability and reliability.

The Senior Software Engineer will enhance the Menu Platform, develop data-driven features, design and implement backend services, ensure reliability, and support cross-functional collaboration in a fast-paced environment.

Develop and maintain Linux-based system software for autonomous vehicles, focusing on telematics, networking, and infrastructure testing.

The role involves developing simulation solutions and orchestration systems for autonomous driving, requiring deep engagement with C++ code, collaboration across teams, and solving complex technical challenges.

The role involves improving backend web services for driving simulation, enhancing tools for managing embedded hardware, and optimizing simulation efficiency.

Lead a small engineering team to design and implement front-end and platform applications that interact with surgical robots and their data. Drive developer productivity by building telemetry, observability, and developer tools, reduce friction in engineering workflows, and educate teams on leveraging internal tooling.

The role involves developing and enhancing a revenue cycle management platform, ensuring efficient data access for healthcare providers, and collaborating with clients to address their needs.

Develop low-level software and firmware for aviation safety technology, focusing on C/C++, Continuous Integration, and embedded systems.

The Sr. Flight Software Verification Engineer verifies embedded software for aviation systems, ensuring compliance with DO-178C standards through testing and tool qualification.

Develop and maintain the architecture for Cerebras' Inference Cloud Platform, focusing on distributed systems, performance optimization, and technical direction. Responsibilities include coding, design reviews, and mentoring senior engineers.

As a Senior Software Engineer at Corvus, you will lead customer-facing software development, ensuring a polished user experience while collaborating with the engineering team and founders on software strategy.

The Staff Software Engineer will design and maintain scalable platforms, mentor engineers, and ensure software quality and performance in a fast-paced environment.

Lead the optimization and performance analysis of distributed training and inference workloads on NVIDIA GPU platforms, with responsibilities including debugging, benchmarking, and ensuring reliability of large-scale AI systems.

The role involves developing features for the CUDA Driver, crafting solutions for GPU computation, and collaborating across teams.

Develop and improve C++ algorithms and optimization engines for VLSI physical design (sizing, buffering, CTS, legalization, ECO routing). Own discovery through deployment, collaborate with design teams, and optimize for frequency, power, and performance using EDA tools and scripting flows.

Develop and support software tools for chip design and verification, optimize workflows, work collaboratively to create high-performance software.

Design and implement large-scale automated test infrastructure and orchestration for confidential computing on NVIDIA GPUs. Develop test plans, automate test execution, improve coverage, collaborate across teams, and validate CUDA/driver features in distributed, heterogeneous environments using AI-assisted tools.

Architect and implement low-latency sensor-to-GPU data pipelines, develop system software, drivers, and APIs, work across FPGA, networking, and CUDA stacks, integrate diverse sensors into Holoscan, and debug and optimize real-time distributed systems under strict latency and throughput constraints while collaborating with hardware, firmware, and AI teams.

Lead design, implementation, and automation of large-scale cloud and data center test infrastructure. Develop CI/CD pipelines, validate performance, scalability, and reliability, debug clusters (network, storage, security), manage Kubernetes and cloud environments, leverage AI tools to accelerate testing, and coordinate cross-team bring-up and issue resolution.

Design and build scalable data platforms, orchestration layers, and synthetic data pipelines integrating simulations, AI models, and applications. Implement high-throughput, low-latency data APIs and storage, develop agentic orchestration frameworks, and collaborate with research and engineering to translate domain models into production-grade systems.

As a Compiler Architect, you'll design and implement a scalable MLIR-based compiler for cloud-based AI inference, focusing on optimizing large-scale AI models and architecting efficient software pipelines for deployment.

As a Principal Software Engineer, you will develop and maintain software kernels for AI hardware, collaborating on full-stack optimization and compiler infrastructure.

Lead the design and development of embedded software systems, ensuring performance and reliability while collaborating across teams to integrate hardware and software effectively.

Drive the vision for Apache Hudi, integrate with Onehouse's solutions, mentor engineers, and build scalable data systems.