Software Engineer Jobs in Sunnyvale, CA

As a Software Engineer, you will develop and maintain the Tally software stack, enhance robot navigation and autonomy, and support CI/CD processes.

Design and implement compilers for proprietary hardware architecture, focusing on midend and backend development, while providing hardware insights.

Develop and maintain performance models of hardware, while collaborating with architecture and runtime teams. Optimize performance and contribute to architectural reviews.

The AI Runtime System Software Engineer will design and implement system software components, optimize ML workloads, and collaborate with hardware teams, requiring strong Linux and C programming experience.

As a Software Engineer on Glean's Data Foundations team, you'll build and scale data ingestion connectors, transforming unstructured content into structured data while ensuring system reliability and security throughout the data processing pipeline.

Design, develop, and maintain scalable backend infrastructure and data-processing pipelines for Aurora’s static and dynamic mapping systems. Build reliable services for storing and serving map data, improve testing and performance, and collaborate with internal and external customers on system designs and features. The role focuses on distributed systems, data versioning, cloud-native technologies, and high-throughput mapping infrastructure supporting autonomous vehicles.

Develop real-time behavior-planning algorithms for autonomous vehicles, selecting safe and comfortable trajectories. Integrate motion planning with machine learning, build production-grade Aurora Driver software, and create metrics and testing workflows for algorithm iteration. The role requires strong Python or C++ programming experience in low-latency or real-time environments and experience productionizing motion-planning algorithms. GPU and machine-learning toolkit expertise is preferred.

Join a small Applied Training team building Kubernetes-native research cluster and sandbox infrastructure for large-scale ML training. Design and implement cluster experiences (CLI, job schemas, operators), own Python SDKs for RL rollouts, work directly with customers and infra teams, document OSS training frameworks, and ship production-grade ML infrastructure solving distribution, scheduling, and isolation at scale.

Lead technical strategy and architecture for CoreWeave's orchestration platform (SUNK). Own critical orchestration components, drive cross-org initiatives in scheduling, quota enforcement, and hyperscale scaling. Mentor senior engineers, establish reliability and observability best practices, and ensure workloads run reliably and efficiently for large GPU ML training and inference clusters.

Design and implement data platforms, manage data infrastructure, develop streaming architectures, improve performance, and ensure data compliance.

Architect and build AI-native, large-scale distributed systems for ITSM/ITOM products. Lead technical strategy, prototype and validate architectures, drive evidence-based experiments, establish patterns and best practices, mentor senior engineers, and collaborate across teams to deliver reliable, observable, and cost-effective agentic automation and operational intelligence.

Build and own runtime infrastructure for agentic AI: orchestration engine, distributed session management, event-driven pipelines, structured concurrency, observability, and caching/state layers to support long-running, low-latency agent sessions at scale.

Develop and maintain on-vehicle services and frameworks that provision, execute, monitor, and instrument autonomous driving software across vehicles, simulations, and hardware. Build configuration and monitoring tooling, collaborate across teams, mentor developers, and deliver production-quality embedded software with a focus on testability.

Build and own LearnVector’s full-stack AI learning product, including frontend experiences, backend services, data layers, deployment infrastructure, streaming AI interactions, session memory, content pipelines, observability, testing, and CI. The role requires making foundational architecture decisions, integrating LLM APIs, operating production systems, and shipping frequent product improvements in an on-site, early-stage startup environment.

Develop system software and firmware for power management across Tegra automotive, embedded, and data center SoCs. Responsibilities include implementing power policies, debugging complex system issues, collaborating on performance and efficiency strategies, creating validation plans, and analyzing energy consumption. The role requires strong C/C++ and Python skills, system-level software experience, and knowledge of computer architecture, operating systems, and hardware-software interactions.

Develop and maintain C# machine-control software for semiconductor manufacturing equipment. Integrate industrial communication protocols, PLCs, robotics, motion systems, lasers, data acquisition devices, and operator interfaces. Support automation state machines, system integration, debugging, testing, and validation. Collaborate with mechanical, electrical, and systems engineers while following control standards, safety practices, documentation, version control, and software quality processes.

Develop and verify scalable bioinformatics software and pipelines for next-generation sequencing products. Build automated verification tests, accelerate algorithms with GPU hardware, and support software development lifecycle and Design Control processes. Collaborate with research, algorithm, and interdisciplinary teams to improve reliable software used in genomic research and disease diagnostics.

Design, build, and own a reliable messaging and lifecycle platform across email, SMS, push, and in-app channels. Responsibilities include routing, templating, retries, deduplication, scheduling, delivery tracking, consent and preference enforcement, deliverability, experimentation hooks, audit trails, and access controls. Partner with data and machine-learning teams on event-triggered engagement while ensuring regulatory compliance, observability, and on-call reliability at millions of messages per month.

Develop and maintain FortiClient Windows software using C/C++; design network and VPN features, implement Windows drivers, diagnose networking/security issues, collaborate with global teams, and contribute to product quality and innovation.

Build and maintain backend APIs and data pipelines that ingest and process large-scale construction data (360° video, schedules, IoT). Optimize storage and query performance using DuckDB and PostgreSQL, extend Airflow workflows, integrate Wasm for local computation, monitor data quality, and collaborate with frontend, CV, and ML teams to deploy production models and analytics.

Leads a firmware engineering team developing CXL and PCIe endpoint devices. Plans and delivers embedded software, manages engineering resources, coordinates distributed cross-functional teams, mentors engineers, and supports recruitment and talent development. The role requires expertise in C, embedded systems, RTOS environments, Arm and RISC-V architectures, peripheral drivers, secure firmware, TrustZone, secure boot, and embedded debugging. A master’s degree and 12+ years of semiconductor experience are required.

Lead design, development, testing, and integration of secure firmware and platform security features. Architect secure boot, hardware root-of-trust, key management, and cryptographic solutions. Drive cross-functional initiatives, review designs and code, mentor engineers, and evaluate emerging security technologies for integration into products.

Lead the design and development of Neurelo's architectural vision with a focus on Rust, building scalable, reliable systems and collaborating effectively across teams.

Designs, develops, tests, and deploys cloud-native applications, microservices, APIs, and backend services on Azure. Ensures cloud security best practices, troubleshoots production issues, and creates manual and automated testing plans. The role requires experience with Azure services, databases, containers, web services, and modern development technologies, with responsibility for building solutions under stringent customer controls.

Senior Software Engineer focused on AI infrastructure performance insights and observability. Responsible for designing and building monitoring, instrumentation, metrics, and tooling to measure and optimize compute and platform performance while collaborating with infrastructure and ML teams.