Software Engineer Jobs in Sunnyvale, CA

Set technical direction for a high-traffic biller-workflow platform supporting claims, appointments, payments, posting, and billing operations. Lead full-stack architecture, multi-team platform rebuilds, frontend performance, API and PostgreSQL optimization, observability, AI workflow integrations, code reviews, technical standards, and mentorship. Partner with clinicians, billing operators, product, and design while maintaining reliable enterprise production systems.

Develop and lead scalable automated testing solutions for endpoint and network security clients across Windows, macOS, and mobile platforms. Build Python-based functional, regression, security, performance, and load testing automation; collaborate with development and design teams; establish quality processes; replicate customer environments; identify release risks; troubleshoot issues; and own release quality and processes.

Lead the architecture, integration, development, and verification of embedded vision software for next-generation surgical robotics. Responsibilities include integrating cameras, image sensors, FPGA/ISP pipelines, and multi-processor systems; debugging end-to-end imaging issues; developing simulation and diagnostic tools; managing illumination controls and risk analyses; supporting regulated medical-device development; and mentoring vision engineers.

Build and test Marvis Minis across embedded firmware and cloud services. Develop Minis features, author network/application validation tests, debug cross-layer issues spanning AP firmware to cloud data pipelines, extend platform to additional devices, and maintain cloud processing components (Storm, Airflow, Kafka, Redis, Elasticsearch). Collaborate with firmware, data science, QA, and operations and participate in production rollouts and incident response.

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.

Build and scale the platform powering Wayve’s data flywheel and foundation-model stack. Responsibilities include developing large-scale data curation, enrichment, evaluation, training, and serving infrastructure; implementing distributed processing, vector search, lakehouse, dataset versioning, and annotation systems; and transforming manual workflows into reliable self-service products. The role requires production ownership, observability, testing, on-call support, and close collaboration with Applied Scientists and ML Engineers.

Lead design, development, and delivery of automotive infotainment HMI software. Define architecture, coordinate cross-functional and supplier teams, mentor engineers, enforce quality and safety, drive Agile program delivery, and manage resources, budgets, and stakeholder relationships to release scalable, reliable infotainment products on time.

Design and own large-scale simulation evaluation pipelines and metrics to validate autonomous driving software. Lead cross-functional integration, invent methodologies to quantify simulation trustworthiness, drive technical roadmaps, and present results via dashboards to inform release and safety decisions.

Design, implement, and optimize large-scale autonomous vehicle simulation testing pipelines and shared libraries. Build automation for test creation, data collection/analysis, debugging, and monitoring. Integrate AI tools to automate test generation and analytics, lead technical roadmaps, perform code reviews, and mentor engineers to improve AV behavior validation and deployment.

Develop embedded real-time systems software for autonomous vehicle safety services. Optimize solutions for performance and compliance while collaborating with multifaceted teams to integrate technologies into NVIDIA's self-driving platform.

This role involves developing high-performance software for autonomous vehicles, focusing on sensor drivers, data processing, and vehicle interface integration, while adhering to quality standards.

Design, develop, and maintain scalable capabilities across on-premises and SaaS platforms. Architect resilient distributed systems, optimize performance, uphold engineering quality and reliability, and collaborate with Product Management and engineering teams on technical strategy and roadmap planning. Provide technical leadership, foster ownership and continuous improvement, and participate in Agile development while delivering enterprise-grade solutions for demanding scalability and performance requirements.

Develop routing, topology management, fast reroute, SDN control planes, self-healing network logic, observability, and packet-forwarding solutions for TeraWave’s multi-orbit satellite communications network. Collaborate with principal engineers and RF and Silicon teams on traffic management, resilience, mobility, latency, and throughput. Mentor junior engineers and support mission-critical production systems.

Build multimodal data pipelines combining vehicle sensor and 3D map data for machine learning. Prototype Vision-Language Model workflows, create evaluation datasets, measure precision and recall, improve detection accuracy, and integrate automated labeling into storage and simulation workflows.

The role involves architecting and operating NVIDIA's cloud-native attestation platform, developing high-availability services, collaborating with cross-functional teams, and mentoring engineers.

Design, develop, test, and maintain scalable backend services for secure trust and identity platforms. Collaborate with product managers, UX designers, and architects; perform code reviews; troubleshoot defects; contribute to architecture and technical innovation; and uphold performance, reliability, security, and code-quality standards.

Build and optimize edge and cloud data pipelines for perception ML models. Scale data engine for high-fidelity labels, reduce annotation costs, integrate foundation models for automated labeling and QA, leverage software/hardware-in-the-loop testing, and support DoD field use cases and model deployment lifecycle.

Design, develop, and integrate AI-powered application features, including LLM-based capabilities, automation workflows, and intelligent user experiences. Build scalable backend services, APIs, microservices, and distributed systems that integrate AI/ML models. Implement observability, monitoring, and logging; participate in architecture discussions and code reviews; and drive engineering initiatives from conception through delivery.

Develop and integrate autonomous vehicle control software for trajectory tracking, model predictive control, state estimation, vehicle dynamics, and safety-critical systems. Build embedded C/C++ modules, simulation models, testing and benchmarking tools, calibration workflows, and automated verification suites. Integrate control functionality across vehicle platforms and troubleshoot actuation issues while contributing to system architecture, redundancy, and failure analysis.

Lead the technical design and delivery of banking features at Cash App, collaborating across teams, driving architecture improvements, and mentoring engineers.

The Staff Software Engineer will develop and execute technical strategies for Cash App Banking, lead architectural decisions, and mentor engineers, focusing on innovative financial solutions.

The role involves leading the development of simulation frameworks for autonomous driving software, requiring strong programming skills and collaboration across engineering teams.

The Senior Software Engineer will lead the architectural and technical vision for simulation tooling, focusing on Python SDK development, mentoring engineers, and improving performance and infrastructure for autonomous driving technologies.

As an AI/ML Engineer, develop and optimize analytics frameworks to enhance autonomous vehicle development, focusing on automation tools and collaboration with engineering teams.

Design and build distributed services, data pipelines, APIs, and integrations for GPU capacity planning, reservations, allocation, forecasting, and utilization. Establish unified capacity models across cloud providers and regions, automate operational workflows, improve observability and reliability, and resolve complex production issues. Lead technical design reviews, set engineering standards, mentor engineers, and collaborate cross-functionally on business-critical DGX Cloud infrastructure.