Software Engineer Jobs in San Jose, CA

Build full-stack engineering tools that integrate LLMs and RAG pipelines for production engineering apps. Own features end-to-end, integrate embeddings and models, implement telemetry monitoring, develop REST APIs and data pipelines, and collaborate with HDD R&D to automate workflows and reduce manual effort.

Build and maintain full‑stack web applications and APIs for data and simulation platforms. Design relational data models, backend Python services, async jobs, and React/TypeScript frontends. Implement tooling for scenario authoring, large-scale simulation runs, results browsing, and shared platform foundations (auth, access control, multi‑tenancy). Ensure production reliability, deployment, testing, observability, and compliance with the company Quality Management System.

Design and scale simulation infrastructure and AI agentic workflows to analyze large-scale simulation results, improve simulation-to-reality fidelity, and validate autonomous vehicle systems. Architect pipelines, metrics, and evaluation frameworks; collaborate with cross-disciplinary teams to reproduce and resolve real-world issues and ensure quality and regulatory compliance.

As a Full-Stack Software Engineer, you will build end-to-end features, develop backend services, and create frontend applications while using AI-assisted tools and collaborating with teams.

Lead design and implementation of GPU-accelerated libraries and integrations for Apache Spark. Develop Java/Scala and CUDA/C++ components for I/O and DataFrame operations, enable interoperability with table formats and metastores, contribute to open source projects, collaborate on distributed systems at scale, and optimize cross-platform CUDA/C++ libraries and CI/testing infrastructure.

Lead technical architect for OCI Networking platform services. Drive design and implementation of scalable distributed systems for routing, workload placement, and fleet lifecycle management. Partner across teams, mentor engineers, lead architecture and operational excellence, and own CI/CD and release automation for production-grade cloud infrastructure.

Design, build, and operate production-grade agentic AI services using LLMs, multi-agent workflows, RAG, and vector DBs. Implement prompt engineering, guardrails, model evaluation, secure RESTful backends in Python, and deploy scalable, observable systems on AWS with containerization and monitoring.

Design, prototype, develop and debug moderately complex software for semiconductor equipment components. Create common software modules, documentation, and test procedures. Troubleshoot issues, implement bug fixes, and communicate with internal/external customers for requirements and schedules.

Develop and verify CPU SoC boot firmware for pre- and post-silicon platforms. Define and decompose functional and safety requirements, perform failure analysis (FMEA/DFA), implement secure boot features, collaborate across teams, and support silicon validation and productization.

Lead pre-silicon system software bring-up and validation on simulation platforms. Develop automation, tools, and workflows to improve simulation-based development, debug complex cross-stack issues, enable teams to use virtual platforms, and drive platform readiness for new chips in early-development environments.

Lead and execute perception R&D and engineering for factory robots: define multi-year roadmap, architect perception pipelines (detection, segmentation, 6-DoF pose, scene understanding), drive sensor fusion and calibration, establish data/model workflows and deployment practices, integrate with planning/control, hire and mentor engineers, and evaluate research for production adoption.

Owner of core clinical backend systems: design and build TypeScript/Nest.js APIs, model clinical domains in PostgreSQL/Prisma, implement onboarding/migration flows, ensure CI/CD, monitoring, HIPAA/SOC2 readiness, collaborate with clinical stakeholders, and build monitoring/reporting with Sentry/Datadog on AWS.

As a Machine Learning Engineer, you will develop models for NLP and code-generation systems, analyze data, and improve AI performance using advanced algorithms. You'll manage the entire ML lifecycle and ensure effective communication of model benefits across the organization.

Develop and maintain scalable, reliable back-end systems and APIs, write maintainable code, and collaborate with global teams in a hybrid work environment.

Design and develop user interfaces and backend architectures for web applications, ensuring seamless integration and optimal performance using modern web technologies.

Seeking Embedded Software Engineer to develop high-reliability real-time systems using Modern C++ and Python. Responsibilities include writing drivers, debugging hardware interfaces, and ensuring resilient design.

As a Software Engineer II, you will build and scale AI-powered compliance systems, design and develop RESTful APIs, and mentor junior engineers while managing end-to-end feature ownership.

As a Senior Performance Characterization Engineer, you will develop performance analysis tools for a custom ML accelerator, improving understanding of workload behavior and optimization. Responsibilities include tool architecture, data collection, performance analysis, and collaboration with various engineering teams.

Build and ship end-to-end frontend features for Muon Space's Mission Command platform in a TypeScript monorepo. Collaborate with backend and product teams, participate in design and code review, maintain CI/CD and static analysis practices, and support post-launch observability, reliability, and performance for mission-critical web applications.

Design and develop complex software solutions for semiconductor equipment, lead projects, define specifications, troubleshoot software problems, and communicate with customers.

Develop and maintain EDA tools for transistor-level analysis. Enhance architecture for timing analysis and implement machine learning technologies for improved solutions.

Develop AI/ML technologies and tools to accelerate standard-cell library characterization. Build infrastructure for characterization data mining and model library cells for aging and variation effects. Maintain and enhance C++ applications on Unix/Linux, design data structures and algorithms, and follow software quality and engineering processes.

As a Senior Full Stack Software Engineer at Doxel, you will design and develop applications for project management, focusing on complex data handling and intuitive UI. Your role involves collaborating across teams and providing technical leadership in software projects.

The Staff Software Engineer will develop high-quality UI libraries using React.js while driving engineering excellence and maintaining performance standards. Responsibilities include documentation, code reviews, and resolving technical challenges with a focus on automation.

Implement and extend Java-based REST services for the Low/No Connectivity project. Build APIs, unit tests, fix defects, participate in design/code reviews and Agile team ceremonies, and coordinate with engineering and product management.