Software Engineer Jobs in Santa Clara, CA

Troubleshoot and resolve customer issues by collaborating with customer service and technical teams. Develop and maintain web applications using Perl, front-end technologies (HTML/CSS/JavaScript), shell scripting on Linux, and SQL. Use JIRA, Git, and Apache for issue tracking and deployment support.

The role involves building and modernizing the RTL-to-GDS flow infrastructure for semiconductor design, improving EDA tool automation, and ensuring system resilience while debugging and collaborating with design teams.

The role involves deploying and optimizing LLMs, designing the ML serving stack, and ensuring high-performance GPU services for production readiness.

Design and develop software for Wi-Fi access points, collaborate with hardware teams, and enhance firmware for new devices while resolving technical issues.

Design, build, and optimize cloud infrastructure and deployment systems. Improve IaC, CI/CD, GitOps workflows, observability, and tooling to enhance scalability, security, and operational efficiency across cloud platforms.

Design, develop, and validate SoC and GPU boot and security firmware across automotive, embedded, and data center platforms. Participate in pre-silicon simulation/emulation through silicon bring-up, debug and resolve boot stack issues, and collaborate with architecture, software, and hardware teams to improve next-generation NVIDIA SoCs.

Design and implement MAC control-plane software for satellite point-to-point and point-to-multipoint links. Develop schedulers, admission-control, state machines, QoS, flow control, and link-adaptation logic. Define interfaces to PHY/modem/hardware, evaluate centralized vs. distributed architectures, build simulation and test capabilities, and lead development through hardware integration, qualification, and deployment.

Design and develop software for networking platforms, focusing on embedded systems and device drivers, collaborating with hardware and software teams.

The Systems Software Engineer will design and maintain software systems for scientific instrumentation, optimizing components on Linux and using Python, while collaborating on Agile development projects.

Develop and support firmware and embedded software for data acquisition and instrument control of laser-based measurement platforms. Integrate DAQ hardware, build communication interfaces, automate calibration/testing, debug real-time performance, and support prototype-to-production system integration.

Build and maintain automation for bare-metal cluster deployments: provisioning, configuration, validation, and operational handoff. Convert manual steps into tested pushbutton workflows, troubleshoot Linux, networking, storage, and Kubernetes issues, and add observability and health checks to improve deployment reliability.

Build and maintain the inference orchestration layer across datacenter clusters. Design and implement highly available, low-latency systems, define platform direction (Kubernetes CRDs/operators), lead production incident response, optimize performance and capacity, drive observability and security, and collaborate with ML, product, and cloud teams to productionize scalable inference services.

Build and maintain CI/CD pipelines and artifact lifecycle systems, provision and optimize cloud (AWS) CI infrastructure, troubleshoot build and pipeline issues, improve developer tooling and build/test infrastructure, support code review/workflow improvements, participate in on-call incident response, and contribute to AI tooling to boost engineering productivity.

Design and implement embedded and system-level software for the Wafer Scale Engine, including Linux BSP, administrative services, hardware monitoring, debugging, and cross-team collaboration to improve reliability, observability, and operability at datacenter scale.

Design, prototype, and productionize applied AI/ML solutions for simulation and engineering workflows. Build high-performance inference pipelines, fine-tune and optimize multimodal and 3D models, integrate models into simulation or perception stacks, and lead projects end-to-end while collaborating with simulation, data, and engineering teams.

Develop system requirements, performance budgets, test strategies, metrics, and verification processes for L3/L4 autonomous driving products. Analyze safety-critical systems, datasets, and software architectures while coordinating vehicle and component testing. Partner with engineering, safety, validation, analytics, and product teams to ensure functional and safety compliance. Apply SOTIF, ISO 26262, architectural trade-off analysis, and validation strategies for deep learning and modular autonomous-driving systems.

Design, develop, and bring up embedded software for autonomous vehicle hardware, including cameras, radar, and lidar. Integrate and debug hardware and software across vehicle subsystems, support DRIVE platform customization for customers, improve platform reliability, and resolve complex issues from application through kernel level. Work across Linux, QNX RTOS, hypervisor, and ARM-based SoC environments while collaborating with software, hardware, systems, and customer teams.

As a Full Stack Software Engineer at Doxel, you will design and develop full-stack applications, collaborating cross-functionally to optimize user experiences and facilitate data processing for construction projects.

Work as an early-career full-stack software engineer building and maintaining web application features across backend, frontend, APIs, data, tests, and internal tooling. Use AI-assisted development tools responsibly, write maintainable code and tests, participate in code reviews, and learn product and customer context to deliver production-quality outcomes.

Build and operate production pipelines that convert raw infrared satellite frames into calibrated, orthorectified, analysis-ready products. Optimize pipeline latency and scale, implement workflow orchestration, build monitoring and operational tooling, collaborate with remote sensing scientists to productionize algorithms, participate in on-call rotations, and diagnose and fix data quality and processing failures.

Senior hands-on full-stack engineer who leads architecture, drives cross-team technical roadmaps, implements scalable Django/React systems, improves CI/CD and testing practices, mentors engineers, and partners with product, clinical, and executive stakeholders to translate business needs into durable technical solutions.

Develop and optimize an ultra-low-latency media streaming stack for GeForce NOW. Own end-to-end feature development, build tools for video performance and quality analysis, define metrics, analyze CPU/GPU utilization, improve network resilience, participate in design/code reviews, and advance team processes to meet performance, reliability, and scalability goals.

Designs, develops, deploys, and supports robust cloud-native backend systems and APIs. Owns the full software development lifecycle, including architecture, reliability, fault tolerance, deployment, and optimization. Collaborates with stakeholders on deployment strategies, mentors junior engineers, and develops distributed systems serving global customers. The role also involves cloud infrastructure, CI/CD, event streaming, data ingestion, observability, and applying AI-assisted development or AIOps practices.

The Software Engineer will design and build systems for sharded PostgreSQL, collaborate with a team to solve distributed systems challenges, and directly engage with customers to create technical solutions.

As a Software Engineer on the Insights team, you'll develop observability products and enhance database performance monitoring for clients using Vitess, MySQL, and PostgreSQL.