Software Engineer Jobs in Sunnyvale, CA

Develop autonomy algorithms that add semantic understanding to real-world driving data. Design onboard systems, manage sensor dependencies, define evaluation metrics, and build scalable production solutions for safety-critical autonomous vehicle systems. Collaborate with platform, product, and security engineering teams to deploy onboard systems.

Architect and scale high-concurrency backend systems for Uber’s financial products. Provide technical leadership, guide architecture and code reviews, ensure reliability, champion testing and maintainability, and build resilient frameworks supporting global-scale financial transactions. Collaborate with Product, Design, and Business leadership while mentoring senior engineers and delivering mission-critical financial services capabilities.

Lead architecture and development of automated evaluation frameworks, high-throughput data pipelines, and driving-performance metrics for autonomous vehicle systems. Benchmark partner software against safety and efficiency standards, optimize latency and data fidelity, and build automated validation and release processes for safety-critical systems. Collaborate with partner teams to communicate model and metric capabilities while enabling scalable autonomous vehicle deployment.

Develops software platforms and visualization solutions for autonomous vehicle data. Designs and implements AV data visualization tools, aligns requirements with stakeholders, identifies technical issues, and delivers high-quality solutions using web technologies such as React and JavaScript, along with AV visualization tools including Foxglove and Webviz.

Develop embedded networking software for NVIDIA Spectrum-X products. Responsibilities include debugging complex networking issues, building diagnostic tools and processes, collaborating with global engineering and product teams, and engaging directly with customers to address technical requirements. The role requires strong C and Python programming on Linux, embedded networking experience, analytical problem-solving, leadership in AI-native software development, and effective communication.

Build and productionize reliable, scalable agentic AI systems (orchestration, sandboxed execution, latency optimization, agent memory, self-reflection, knowledge graphs, multimodal I/O). Implement frontier AI algorithms, ship production-grade code, mentor engineers, collaborate with ML, security, product, and UX teams, and drive roadmap and reliability improvements.

Design, build, and scale reliable agentic AI systems and infrastructure (orchestration, sandboxed execution, latency optimization, memory, multimodal I/O). Productionize frontier AI algorithms, collaborate with ML/security/product teams, mentor engineers, and deliver production-grade, performant code that advances enterprise AI assistant capabilities.

Build the agent evaluation platform for multi-step enterprise AI agents. Responsibilities include orchestrating high-concurrency evaluations, developing OpenTelemetry-based tracing, creating stateful simulations of enterprise systems, managing datasets and reports, implementing validators and scoring, and establishing reliability, reproducibility, and SLOs. The role also develops calibrated evaluation signals that can optimize and train agent behavior.

Lead development of Moveworks' fullstack web applications and AI-powered agent builder experiences. Design scalable UI frameworks, web technology stacks, authentication, event tracking, design systems, and APIs. Collaborate with product, machine learning, and engineering teams to improve user experience and customer adoption while delivering reliable, modular solutions for global enterprise customers.

Design, build, and operate security-focused software, services, automation frameworks, APIs, and developer platforms. Integrate security controls into CI/CD and cloud-native workflows, implement identity and access-management capabilities, conduct secure code reviews and threat modeling, and maintain security telemetry systems. Collaborate with engineering, security, and compliance teams, support incident response, translate emerging threats into engineering requirements, and mentor engineers on secure coding and architecture.

Lead complex software engineering projects for Carta’s KYC platform from concept through production. Simplify architecture and infrastructure, improve performance and reliability, use AI-assisted development tools, mentor engineers through reviews and guidance, and collaborate with product and design. The role involves building and integrating a unified compliance platform supporting high-volume entity screening across private-market transactions.

Build and productize shared developer tools for hyperscale engineering workflows. Develop Python and C++ software in Linux environments, create REST, gRPC, and CLI interfaces, use AI-assisted development, and improve developer velocity through engineering metrics. Responsibilities include architecture, reliability, observability, incident response, code reviews, technical roadmap collaboration, and mentoring junior engineers. The role is primarily in-office in Santa Clara.

Own end-to-end software integration across firmware, BSP, drivers, GPU software, services, and release systems. Lead system-level debugging of boot failures, crashes, resets, power transitions, performance regressions, and update issues. Analyze logs, traces, crash dumps, and hardware diagnostics to identify root causes, automate failure classification, integrate partner software, and coordinate cross-functional resolution across firmware, kernel, hardware, architecture, and OS teams.

Develop application architecture and scalable software for humanoid robots and autonomous machines. Integrate hardware, software, manipulation algorithms, and whole-body controllers; lead profiling, benchmarking, verification, and system performance improvements. Collaborate with internal engineering teams and external partners to deploy robotic solutions globally. The role requires hands-on robotics software development, machine learning and reinforcement learning expertise, simulation-based validation, and proficiency in Python and C/C++.

Build scalable backend services and APIs supporting robotic surgical fleets and application workflows. Develop configuration management and telemetry ingestion capabilities, implement automated testing in CI pipelines, contribute to CI/CD and observability, and ensure service documentation, health endpoints, and uptime monitoring. Collaborate with embedded, infrastructure, product, security, and quality teams while supporting distributed systems reliability, troubleshooting, incident management, and compliance requirements.

Design and implement end-to-end GPU performance verification infrastructure. Build scalable data pipelines to collect metrics from simulation, emulation, and silicon. Collaborate with GPU architects and hardware teams to automate verification workflows, provide performance insights and modeling, and accelerate GPU build iteration.

Develop simulation infrastructure for evaluating deep learning workloads across NVIDIA GPUs and compiler stacks. Optimize compiler kernel code generation, computational graphs, and datacenter-scale AI deployments using performance modeling. Collaborate with architecture, software, product, and research teams to assess future GPU features and influence silicon and system design. The role requires strong MLIR, C/C++, and Python expertise, along with experience in compiler optimization, architectural simulation, or related areas.

Build and maintain scalable financial data infrastructure, including ingestion, validation, normalization, and integrations. Develop systems that calculate portfolio performance metrics efficiently across high-volume datasets, improve reliability and observability, and support distributed processing. Create internal tools, dashboards, reusable schemas, asset data feeds, and self-service analytics capabilities. Collaborate cross-functionally to expand market-data coverage, support B2B integrations, and strengthen operational resilience.

Lead design and development of cloud-native full-stack and microservice systems for patient-facing and clinical data platforms. Provide technical leadership, drive cross-functional programs, improve engineering practices, and mentor engineers to deliver robust, scalable software.

The role involves designing and implementing distributed storage solutions for AI workloads, developing scalable storage systems, optimizing performance, and mentoring engineers. It requires collaboration with various teams to ensure system reliability and efficiency.

Lead the development of Linux system management tools with expertise in Golang and Debian, focusing on system observability and architecture design.

Lead software assurance for autonomous-driving systems by developing and improving processes aligned with ASPICE and ISO 26262. Conduct audits, manage deficiencies and corrective actions, analyze root causes, report software quality metrics, and present findings to engineering leadership. Collaborate across safety, engineering, operations, and product teams to support conformance and safe deployment in a safety-critical environment.

Develop and lead system-level software for NVIDIA Jetson embedded platforms, spanning hardware analysis, boot firmware, Linux kernel, operating systems, SDKs, and system services. Collaborate with hardware and product teams, optimize performance and resource utilization, improve reliability and security, support full product lifecycles, and mentor engineers. The role also involves BSPs, device drivers, graphics, automated testing, Jenkins, OTA releases, and security assessments.

Lead development of Java backend services, REST APIs, and React features for DigiCert’s enterprise identity and platform infrastructure. Architect IAM flows using OAuth 2.0, OIDC, and SAML; implement secure, multi-tenant systems; and improve CI/CD, Kubernetes infrastructure, observability, and reliability. Integrate AI and LLM capabilities, use AI coding agents, mentor engineers, and lead incident response and technical design decisions across engineering, product, and security teams.

Build and scale full-stack features for the Insights practice management platform using ReactJS, Python, and PostgreSQL. Improve reliability, observability, performance, and availability; collaborate with infra, backend, product, and design; own multi-month projects, conduct code reviews, and drive architectural improvements to support thousands of practices.