Software Engineer Jobs in Sunnyvale, CA

Design and develop security frameworks for Aurora’s autonomous vehicle platform and cloud services. Lead vehicle security implementation, architecture reviews, threat modeling, code reviews, security releases, and integration with partner teams and OEMs. Write production-quality C++ and Golang, mentor engineers, translate requirements into products, and apply cryptographic, infrastructure, network, embedded, and hardware security practices.

Architect and develop scalable SaaS, web APIs, SDKs, CLIs, and AI-assisted developer tools for coding, debugging, profiling, and CUDA optimization. Collaborate with Product, Design, and engineering teams to define features, improve cloud infrastructure, and deliver reliable services for concurrent developers. Mentor engineers and review code and designs while applying Kubernetes, AWS, infrastructure as code, DevOps, Python, virtualization, and GPU profiling expertise.

Owns quality for a SaaS quantum security posture management platform. Responsibilities include designing and executing functional, regression, integration, API, UI, and automated tests; validating network modeling and security policies; maintaining virtual network test environments; triaging defects; supporting release readiness; and integrating testing into CI/CD workflows.

Develop, test, optimize, document, and troubleshoot distributed robotics software for agricultural and construction equipment. The role uses C++ in Linux environments and involves deployment support, system debugging, API and architecture documentation, work estimation, and collaboration with embedded software, QA, mechatronics, computer vision, and machine learning teams. Preferred experience includes sensor integration, vision systems, GPU computing on edge devices, Python robotics development, and autonomous vehicles.

Develops end-to-end manufacturing test architecture and software automation for server and storage systems. The role creates functional testing strategies from PCBA through system level, builds automated test frameworks, supports hardware test stations, analyzes manufacturing telemetry, debugs hardware failures, and improves product yield and reliability. It also produces test requirements, validation reports, work instructions, and troubleshooting documentation while coordinating with Design Engineering, Quality, Operations, and contract manufacturers.

Software Engineer Interns will own scoped projects from design through launch, building reliable, tested, production-quality software. They may contribute across backend services, product engineering, infrastructure, security, UI/full-stack, machine learning, NLP, or search. Interns will collaborate across teams, participate in code reviews, learn quickly, and measure project outcomes in a fast-paced environment.

Develop EDA software for integrated-circuit physical implementation, including place-and-route, layout optimization, and backend chip design. Translate manufacturing design rules into software logic, fix defects, ship enhancements, and contribute to automated workflows integrating machine-learning models. Engage regularly with external users, lead customer-facing deliverables, and collaborate with engineers and researchers. The role requires experience building EDA tools, advanced process nodes, and industry-standard physical design flows, with four days per week onsite in Los Altos.

Design, develop, test, debug, and maintain frontend and backend software applications. Translate user stories into scalable solutions, write functional and test code, automate builds and deployments, conduct unit/integration/end-to-end testing, apply secure coding practices, document systems, collaborate on infrastructure planning, and work with end-users to define requirements and implement enhancements.

Leads modernization of large-scale embedded software test systems. Defines architecture and roadmaps for automated test execution, configuration and variation management, traceability, regression selection, quality gates, and results reporting. Builds integrations across testing, diagnostics, issue tracking, and CI/CD pipelines, while standardizing test data for Databricks analytics. Provides technical leadership across teams, improves testing speed and reliability, and mentors engineers in safety-critical automotive software environments.

Leads modernization of General Motors’ embedded software build ecosystem by migrating Make- and shell-based workflows to Bazel. Designs reusable rules, toolchains, platforms, and repository standards; integrates build infrastructure with CI/CD, testing, releases, security, and observability; and improves reproducibility, performance, reliability, and developer productivity. The role also evaluates AI-assisted engineering workflows and mentors teams across the organization.

Leads modernization of a large-scale embedded software test system for software-defined vehicles. Defines architecture, roadmaps, automated headless testing, configuration and variation management, change-impact analysis, risk-based regression, standardized test-result data, APIs, diagnostics, and CI/CD integrations. The role drives engineering productivity, test reliability, deployment speed, failure triage, and cross-team technical direction across virtual and physical environments.

Leads customer solution validation and quality engineering for large-scale networking and distributed software platforms. Designs scalable automation frameworks, integrates testing into CI/CD, performs system-level, resiliency, interoperability, scale, and performance testing, and investigates complex failures. Partners with customers and cross-functional teams on architecture reviews, deployment validation, and technical improvements. Provides technical leadership, mentors engineers, influences product direction, and advances automation, observability, reliability, and engineering productivity.

Build and operate security infrastructure, including SIEM systems, large-scale data pipelines, searchable data lakes, and security observability capabilities. Integrate infrastructure sources, acquire and process high-volume logs, and support detection, threat hunting, and insider-risk programs. Collaborate with security, data platform, and infrastructure teams to deliver reliable, scalable solutions using Go or Python, Kubernetes, Elasticsearch, and related technologies.

Design, implement, and operate CoreWeave’s attestation infrastructure and cryptographic systems. Build services that verify cloud infrastructure integrity using hardware roots of trust, manage PKI, HSMs, secrets, and key-management integrations, and develop scalable automation for trusted infrastructure data. Collaborate across teams to deliver secure, reliable cryptographic services. Requires strong PKI knowledge, software development skills in Go or Python, Kubernetes experience, and at least five years in security or infrastructure engineering.

Leads complex enterprise AI deployments and high-stakes go-lives, owns deployment playbooks and shared tooling, mentors engineers, establishes quality standards, documents reusable deployment practices, and partners with product and engineering teams to incorporate customer feedback. The role combines hands-on software engineering, customer-facing delivery, AI and GenAI integration, prompt engineering, executive communication, and technical leadership across the GAIL program.

Lead the architecture, development, deployment, and monitoring of complex AI-native and cloud-native systems integrated with ServiceNow. Build LLM applications, agentic workflows, retrieval pipelines, data and vector systems, and evaluation frameworks using modern cloud services and infrastructure. Provide technical leadership, mentorship, code reviews, customer issue resolution, and cross-functional guidance while developing ServiceNow applications, workflows, integrations, and platform extensions.

Build a core EDA engineering tool from initial architecture through delivery. Develop behavioral models for digital building blocks, scalable distributed circuit simulation workflows, and standard library characterization and verification tooling. Collaborate with optimization and machine learning teams, create programmatic interfaces, balance runtime and accuracy, and communicate technical tradeoffs to expert users.

Design and implement core features for a lightweight macOS security sensor, collaborate cross-platform with teams, own feature lifecycle from design through delivery, debug low-level memory and performance issues, and mentor distributed engineers while aligning sensor architecture with broader Falcon Host strategy.

Develop and maintain graphics system software, user-mode drivers, platform code, APIs, and SDKs across GPU architectures and operating systems. Ensure backward and forward compatibility across driver releases, collaborate on graphics and deep learning technologies, and support next-generation GPU design, development, and validation.

Develop and maintain mission systems software across aircraft, control center, and cloud environments. Responsibilities include architecting communication, fleet operations, and data management systems; building software from embedded and Linux platform layers through applications; integrating third-party hardware and software; and ensuring reliable, high-performance production systems for autonomous aviation operations.

Develop and extend reinforcement learning infrastructure for Waymo’s autonomous driving platform. Conduct experiments, tune parameters, compare results, and evaluate new reinforcement learning technologies for model training, simulation, and quality evaluation. The intern will collaborate with software engineering and research teams to improve autonomous driving models and systems.

Lead modernization of General Motors’ embedded-software build infrastructure by migrating legacy Make and shell workflows to Bazel. Design reusable rules, toolchains, platforms, and repository standards; integrate build systems with CI/CD, testing, release, security, and artifact workflows; and improve reproducibility, performance, reliability, and developer productivity. The role also involves mentoring engineers, guiding strategy, measuring migration outcomes, and evaluating AI-enabled engineering workflows.

Leads enterprise engineering platforms for embedded software, simulation, and cloud workloads. Designs CI/CD, GitOps, Kubernetes, Terraform, progressive delivery, observability, security, and compliance architectures. Establishes branching, release, quality, and engineering standards across teams while improving productivity, release confidence, and product quality. Mentors DevOps and simulation developers and provides hands-on technical leadership for complex, safety-critical software environments.

Lead enterprise-scale engineering platforms for embedded software, simulation, and cloud workloads. Architect CI/CD, GitOps, Kubernetes, Terraform, progressive delivery, security, compliance, and observability standards across multiple teams. Drive software engineering productivity, release quality, and technical strategy while mentoring DevOps and simulation developers. The role requires deep real-time systems, safety-critical product, cloud, Kubernetes, Terraform, and embedded or simulation workflow experience.

Build and operate scalable full-stack software and AI-powered products for physical operations. Own technically complex areas, define technical strategy, develop backend services, APIs, frontend and potentially mobile experiences, and translate customer problems into measurable outcomes. Lead cross-team initiatives, mentor engineers, participate in technical reviews, and raise engineering quality and velocity.