Software Engineer Jobs in Santa Clara, CA

Lead functional and automated testing of NVIDIA-Cumulus Linux on Mellanox Spectrum switches. Create test plans and topologies, execute tests, develop automation, report and validate defects, and collaborate with design and engineering teams to ensure continuous functional regression coverage.

As a Software Engineer Intern, you will assist in developing features for a climate adaptation software, collaborating with teams and learning modern engineering practices.

Develop and optimize Vulkan graphics drivers to maximize performance, power-efficiency, and latency for games and creative apps. Diagnose GPU/CPU bottlenecks, implement driver performance improvements, fix defects, collaborate across teams, and communicate API usage changes to third-party developers.

The role involves developing, troubleshooting, and supporting the Genus Synthesis Solution with a focus on logic synthesis and physical design.

Develop ML-first behavior modules for predicting future motions of road users. Collaborate with perception and planning teams to enhance autonomous systems.

Develop scalable Python-based tooling and infrastructure for the autonomy stack, supporting fleet management and vehicle communication in mining and construction. Collaborate with engineers across the stack.

The ML Perception Software Engineer will develop perception modules for autonomous vehicles, focusing on machine learning and computer vision to enhance navigation capabilities.

The role involves owning and maintaining HD maps infrastructure, defining storage formats, and collaborating on design and feature development for various applications.

This role involves designing simulation capabilities for perception in autonomous vehicles, focusing on uncertainty handling and safe fallback behaviors. The engineer will collaborate with sensor simulation and infrastructure teams to enhance product safety and efficiency within a dynamic team culture.

Design and develop tools for verifying the correctness of smart contracts, extend verification algorithms, and collaborate with engineers on technical solutions.

Design, develop, debug, validate, and maintain development tools, flows, SDKs, IDEs, debuggers, and automation for build, deployment, testing, and performance optimization. Collaborate with cross-functional teams to capture requirements, deliver high-quality software solutions, and provide technical guidance.

Design, develop, test, and maintain networking systems software (including Junos/Junos Evolved) and forwarding ASIC software. Implement protocol and OS subsystems, debug and integrate code, execute test plans, and collaborate with product management, architects, and cross-functional teams to deliver reliable networking solutions.

As a Senior Robotics Software Engineer, you will maintain and improve the Tally software stack, develop new software packages, enhance autonomy and navigation, and assist in DevOps and CI/CD processes.

Develop mission-critical applications for GPS receivers, overseeing the software development life cycle, ensuring quality, and collaborating across teams to enhance aviation safety.

As a Software Engineer, you will develop and maintain the Tally software stack, enhance robot navigation and autonomy, and support CI/CD processes.

Design, develop, debug, and document complex software for semiconductor equipment components and devices. Create test procedures, specifications, and test plans for simulators, test benches, and lab environments. Troubleshoot software issues, implement fixes, analyze requirements, coordinate schedules, and communicate with internal and external customers. The role applies software engineering, machine learning, and AI concepts to semiconductor and display technology solutions.

Lead technical strategy and architecture for Developer Experience: build scalable build/test/delivery systems, improve CI/CD throughput, design internal platforms/APIs/SDKs/CLIs, integrate LLM/agentic tooling safely, mentor senior engineers, and drive cross-team initiatives to increase engineering velocity, reliability, and maintainability at organizational scale.

Join a small Applied Training team building Kubernetes-native research cluster and sandbox infrastructure for large-scale ML training. Design and implement cluster experiences (CLI, job schemas, operators), own Python SDKs for RL rollouts, work directly with customers and infra teams, document OSS training frameworks, and ship production-grade ML infrastructure solving distribution, scheduling, and isolation at scale.

Lead technical strategy and architecture for CoreWeave's orchestration platform (SUNK). Own critical orchestration components, drive cross-org initiatives in scheduling, quota enforcement, and hyperscale scaling. Mentor senior engineers, establish reliability and observability best practices, and ensure workloads run reliably and efficiently for large GPU ML training and inference clusters.

Take end-to-end ownership of a Kubernetes-based, multi-region data platform: architect for high availability and low latency, scale infrastructure, optimize CI/CD, implement observability and IaC, enforce cloud-native security, lead incident response, and ensure production readiness and capacity planning.

Design and implement data platforms, manage data infrastructure, develop streaming architectures, improve performance, and ensure data compliance.

Architect and build AI-native, large-scale distributed systems for ITSM/ITOM products. Lead technical strategy, prototype and validate architectures, drive evidence-based experiments, establish patterns and best practices, mentor senior engineers, and collaborate across teams to deliver reliable, observable, and cost-effective agentic automation and operational intelligence.

Lead design and implementation of high-performance, scalable integrations that ingest identity data from cloud and SaaS providers. Drive architecture and best practices, mentor backend engineers, partner with product and customer teams, and apply AI/ML models to streamline connector development and data modeling for Veza's Access Graph platform.

Develop and maintain on-vehicle services and frameworks that provision, execute, monitor, and instrument autonomous driving software across vehicles, simulations, and hardware. Build configuration and monitoring tooling, collaborate across teams, mentor developers, and deliver production-quality embedded software with a focus on testability.

Lead the technical direction and architecture of Kubernetes-based platform systems across cloud and customer-managed environments. Translate complex requirements into scalable designs, engineering contracts, and implementation plans. Drive cross-team alignment, identify dependencies and lifecycle risks, and modernize enterprise systems while maintaining reliability, compatibility, and operational quality. The role requires extensive software engineering and distributed-systems experience, along with hands-on Kubernetes expertise and familiarity with platform services, operators, APIs, and cloud-native modernization.