Software Engineer Jobs in Santa Clara, CA

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 operate cloud-native data platform components and services. Lead and deliver well-scoped projects, implement operators/controllers and automation, ensure reliability and observability, participate in on-call, and mentor junior engineers.

Design and develop Linux software for a cybersecurity product, owning features from design to delivery while collaborating with a distributed team.

Lead the architecture and implementation of infrastructure for autonomous driving software, including low-latency IPC middleware, runtime engines, compiler and build toolchains, simulation platforms, crash triage, and diagnostic systems. Drive performance optimization across embedded platforms, establish engineering standards, mentor engineers, and guide cross-functional architecture and technical initiatives.

Develop and validate embedded software for SoCs used in non-volatile memory devices, supporting concept development through mass production. Write software to exercise SoC components and contribute to storage solution development. The role requires embedded or firmware-level programming in Rust or C/C++, Python scripting and testing, and knowledge of digital circuits, computer architecture, and memory systems.

Develop and maintain scalable build, regression, and release infrastructure for chip designers. Build user-facing services for scheduling, tracking, and triaging workflows, plus tools for collecting, analyzing, monitoring, and visualizing system metrics. Apply modern CI/CD practices, maintain reliable production-quality code, and support distributed computing, build systems, and software performance analysis.

Develop and optimize compiler, runtime, and SDK components for TetraMem's analog compute-in-memory AI hardware. Translate ML models into efficient executables, implement low-level optimizations and debugging tools, integrate ML frameworks and deployment pipelines, benchmark and profile workloads, support hardware bring-up and validation, and collaborate across teams to improve system performance.

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.

Validate and verify NFC system-level components and software. Implement and run automated and manual tests, analyze results, debug issues using lab equipment, and collaborate with hardware, firmware, and software teams to ensure integrated embedded system performance.

Develop and maintain infrastructure for software development and AI operations, manage CI/CD pipelines, and automate configurations using various tools.

Lead architecture and implementation of hardware abstraction layers, drivers, runtimes, and data-movement pipelines in Rust. Drive platform bring-up, triage difficult runtime and hardware faults, define long-lived APIs and compatibility practices, establish AI-assisted engineering workflows, and collaborate with hardware, compiler, and operations teams to ensure production-scale reliability and performance.

Lead performance and scalability engineering for Kubernetes-based accelerated AI runtimes. Analyze end-to-end stack from orchestration to hardware, design upstream Kubernetes changes, improve container startup and encrypted inference performance, build large-scale simulations and automated workload tests, and engage upstream communities and customers to validate and ship scalable AI infrastructure.

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.

Lead quality assurance for Hypershield’s management plane by designing manual and automated testing strategies, validating cloud-based distributed applications, and identifying defects across networking, security, AI performance, logging, and storage. Collaborate with developers and program leads on DevTest strategies, troubleshoot Linux and cloud environments, and ensure reliable customer security solutions.

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.

Designs and builds distributed AI-native cybersecurity systems that process security telemetry, correlate detection signals, predict threats, and generate explainable alerts. Develops AI features, agentic development workflows, AIDevOps pipelines, data platforms, and retrieval-augmented generation capabilities. Partners with security researchers, subject matter experts, product teams, and engineers to deliver scalable analyst workflows and trusted security automation. Requires strong distributed systems, storage, data platform, Python or Go, DevOps, and cybersecurity engineering experience.

Develop and troubleshoot multithreaded, distributed physical synthesis software for Cadence’s Innovus platform. Collaborate with global R&D teams, product engineering, and technical sales to deliver customer solutions and workarounds. The role requires C/C++ development in Linux, strong data structures and algorithms knowledge, and customer communication skills. Experience with physical synthesis, timing analysis, multithreading, IC physical design tools, design closure, physical design flows, Tcl, and scripting is preferred.

Leads the architecture and development of scalable, cloud-native backend systems using Python. Coordinates engineers, sets technical direction, establishes engineering standards, mentors teams, and drives technical roadmaps. Designs highly available, fault-tolerant systems with strong security and disaster recovery. Collaborates with product, infrastructure, operations, customers, and external partners while optimizing performance, reliability, and maintainability.

Design, develop, test, and release scalable enterprise software, including web applications, APIs, and browser extensions. Build cloud-deployed distributed systems, microservices, and data-driven applications; implement CI/CD pipelines, monitoring, automated tests, and operational support. Participate in architecture and code reviews, Agile/Scrum ceremonies, migrations, refactoring, and release management. Mentor engineers, document designs, improve engineering standards, and provide on-call support.

Provide Tier 1 support for complex cloud platforms, troubleshoot distributed software and customer issues, investigate root causes, improve operational workflows, create runbooks and documentation, build support tooling, and coordinate with engineering, SRE, and other internal teams. The role supports production systems through an on-call rotation and requires expertise across cloud infrastructure, networking, storage, Kubernetes, Linux, and DevOps tooling, with GPU, MLOps, HPC, or SLURM experience preferred.

Design and build distributed services, data pipelines, APIs, and integrations for DGX Cloud capacity planning, allocation, reservations, and utilization. Develop unified GPU capacity models, automate operational workflows, improve forecasting and visibility, and establish monitoring and data-quality controls. Lead technical design reviews, mentor engineers, and resolve complex production issues while improving reliability, scalability, and infrastructure utilization across cloud environments.

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.