Software Engineer Jobs in Sunnyvale, CA

Design, implement, and test feedback, control, and actuation strategies for safety-critical autonomous truck systems. Develop vehicle models, characterize dynamics, build redundant and fail-safe control architectures, collaborate across hardware and software teams, and produce requirements, test plans, and integration-level testing.

Design, develop, and verify features for next-gen RISC-V controllers on NVIDIA GPUs, collaborate with hardware and software teams, perform early modeling/simulation, follow devices through development to customer products, and support BSP and device driver development.

Design and develop server applications for managing NVLink networks, collaborate on new features, and oversee integration testing and QA.

Define technical vision and architecture for vehicle dynamics simulation. Implement production C++ interfaces, model-selection and parameter-identification workflows, translate control commands to time-aligned motion, validate and calibrate models using measured logs and test data, set standards and release gates, mentor engineers, and collaborate across planning, controls, simulation, and product teams.

Lead design and implementation of a next-generation Resource Manager and AI developer tools. Build scalable, event-driven microservices, improve ML workflow orchestration, model management, and observability. Mentor engineers, drive architectural decisions, collaborate with product and compliance, and take end-to-end ownership for platform reliability, performance, and operations.

Develop AI systems for efficient inference, design and optimize kernels, and build domain-specific compilers and runtimes while collaborating with engineers.

The Principal Software Engineer will lead architecture and development efforts for next-generation Data Center products, collaborating with customers and addressing complex technical issues.

The Senior Software Engineer will design and optimize communication libraries for GPU-based computing systems targeting deep learning and HPC, contributing to parallel programming interfaces and system software.

Develop complex software programs and conduct analysis on systems. Create project plans and specifications while determining product requirements and enhancements.

Lead AI technical strategy, architect AI systems, set safety standards, mentor engineers, and evaluate AI models at Midi Health, a healthcare-focused company.

You will design and build LLM-powered features, integrate AI capabilities into workflows, and contribute to internal practices at a healthcare-focused company.

Lead SDET for Netskope's PKI platform: design test strategies, build automation frameworks (Python/PyTest/Selenium), validate certificate lifecycles, TLS/mTLS, OCSP/CRL, APIs and distributed systems, own feature quality through production, run chaos/performance tests, participate on-call, and mentor engineers to improve CI/CD and platform reliability.

Lead the design and development of core software infrastructure for 4D LiDAR products, optimizing for performance, scalability, and reliability while mentoring teams.

Build and operate large-scale ML training infrastructure: distributed GPU training, multi-cluster scheduling, data pipelines (batch & streaming), ML workflows, observability, alerting, and on-call/incident response to ensure reliable, cost-effective model training and releases.

Design, build, and maintain ML infrastructure for model lifecycle: training, optimization, validation, deployment, inference, and observability. Own ML inference and compiler platforms, develop scalable ML pipelines, continuous testing/monitoring, and support deployment to diverse hardware for autonomous vehicles.

Lead architecture and development of production-grade Kubernetes platform capabilities: cluster management, control plane services, fleet lifecycle, provisioning, upgrades, remediation, and automation. Drive technical strategy, cross-team execution, operational reliability, and mentor senior engineers to improve scalability and operability for large-scale AI deployments.

Own and improve analytics datasets and ETL pipelines powering an internal product analytics AI agent. Build retrieval, knowledge, evaluation, and backend agent workflows. Improve retrieval and answer quality, develop evaluation systems, and create user-facing features. Partner with data scientists to turn analytics needs into scalable capabilities and help set roadmap and technical direction for the data and quality side of the platform.

Lead design and delivery of scalable cloud services and full-stack features for a next-generation game creation platform. Build performant front-end and backend systems, optimize cloud scalability and performance, maintain CI/CD, monitoring and databases, apply agentic AI tools in development, drive technical direction, and collaborate with AI, infrastructure, and data teams.

Lead software/firmware quality activities across product development: establish and maintain software quality processes, support design controls and regulatory submissions, manage risk and V&V (unit, integration, system testing), perform code and design reviews, drive test automation, and collaborate cross-functionally to ensure safety, compliance, and reliability of medical device software.

Designs and executes systematic software tests, debugs complex products, writes test standards and procedures, documents results, analyzes failures, consults with developers, and helps lead software test projects to ensure integration with scientific computation and data acquisition systems.

Lead architecture and delivery of OCI's Key Management Service (KMS). Design and implement secure, scalable features integrating HSMs and encryption-at-rest. Drive distributed systems architecture, cross-team collaboration, operational readiness, and engineering best practices for production-grade cloud security services.

Develop and deploy machine learning models on the da Vinci surgical robot by writing C++ applications, connecting to robot data streams, integrating model outputs, and using Linux build systems and command-line tools. Gain system-level understanding of the robot and collaborate with ML engineers/scientists. CUDA experience and ML knowledge are beneficial.

Architect and build an enterprise-grade, multi-tenant AI-native workflow platform for agentic automation. Design scalable backend microservices, state-machine workflows, LLM orchestration, observability, reliability, and integrations across multi-cloud environments while mentoring engineers and collaborating with product and platform teams.

Design and implement high-reliability embedded firmware for a satellite user terminal: low-level drivers, beamforming control, networking optimization, thermal and power management, secure boot/OTA, hardware debugging, and RTOS/Embedded Linux integration to enable real-time beam steering and high-throughput communications.

Lead architecture, design, and implementation of multi-threaded embedded software (C/C++) for satellite payloads and ground terminals. Collaborate with hardware, silicon, and systems teams, define performance KPIs, drive optimization, testing, CI/CD, and mentor engineers while ensuring fault tolerance, scalability, and high-speed data-plane handling.