Software Engineer Jobs in Santa Clara, CA

Develop telematics platforms integrating devices, cloud services, and analytics. Design scalable backend systems to process real-time telemetry data.

The role involves developing large-scale data processing pipelines, automating data selection, and collaborating on ML model improvements to enhance vehicle performance and safety.

Design, develop, and productionize scalable AI tools for systems engineering in autonomous vehicles, integrating data for traceability, and building backend services.

Design and build secure AI platforms, manage full lifecycle of software development, support engineers, and drive adoption of AI tools at SpaceX.

Develop and optimize core infrastructure for autonomous driving. Focus on low-latency execution, component health monitoring, and system performance improvements.

Design and maintain automated test frameworks for APIs and data pipelines, containerized quality checks, CI/CD workflows, and infrastructure as code. Use agentic AI to create tests, triage failures, and debug production issues. Build retrieval pipelines, MCP integrations, evaluations, observability, safeguards, and reusable engineering patterns for reliable AI automation and end-to-end testing.

Design and implement RDMA protocol features, QoS and congestion control for high-performance Ethernet NICs. Collaborate with architects, silicon teams, QA, and customer support to deliver, validate, and document high-performance drivers, firmware, and test solutions.

Develop and maintain in-house simulation services, integrate numerical models with production software, collaborate with domain experts and stakeholders, apply simulation tools to testing, and contribute to planning and performance metrics.

Build and maintain high-throughput C++ recording systems and Python data services for vehicle sensor and telemetry data. Work on data transfer, ingestion, validation, format/versioning, indexing, compression, and efficient access for replay, analytics, and ML while operating under vehicle resource constraints and contributing to quality management.

Develop and iterate on a next-generation medical robotics platform: learn and extend existing C++ codebase, design experiments, build production-quality, modular software, collaborate with controls/mechanical teams, and maintain medical device design control documentation.

Lead architecture and implementation across the full stack, rework user and license management, and develop core runtime components for a code-first PCB design product. Drive technical direction, identify and fix technical debt, mentor engineers, perform code reviews, and build production-ready, high-performance systems involving computational geometry and advanced visualization.

Design, develop, and optimize system software and firmware for SoC-based O-RAN infrastructure. Implement power-management policies (DVFS, clock/power gating, thermal control), analyze RU/DU workloads, build performance and power models, create measurement and test tooling, validate on simulation/emulation and silicon, and influence SoC and platform architectures for 5G/6G deployments.

Design, build, and scale resilient distributed payment systems handling 1,000+ transactions per second. Collaborate with Product, Revenue Operations, Cloud Platform, and Security teams to shape product requirements and roadmaps. Lead AI-augmented software delivery, code reviews, testing, observability, performance optimization, incident response, on-call rotations, and root cause analysis while maintaining strict security, reliability, and low-latency standards.

As a Senior Software Engineer in Cluster Orchestration, you'll lead multiple services, drive improvements in performance and reliability, and mentor junior engineers.

The Senior Software Engineer will enhance Kubernetes-native benchmarking services while improving performance and reliability, mentoring junior engineers throughout the process.

The Senior Software Engineer II, AI/ML leads designs, enhances architecture, optimizes multilayer systems, mentors engineers, and ensures service reliability at CoreWeave.

As a Staff Engineer, you'll lead the orchestration platform strategy, mentor engineers, and ensure reliable workloads across GPU clusters, directly impacting AI innovation.

Develop high-fidelity, high-performance simulation scenarios and a gym environment for RL training to validate autonomous driving software. Collaborate across large engineering teams to improve developer experience, drive continuous delivery, and integrate simulation with the autonomy stack.

Design and develop multithreaded embedded software in C/C++ for Linux, RTOS, and bare-metal platforms supporting satellite RF, antenna, and optical systems. Build drivers and control/data-plane functions, integrate software with hardware, debug using telemetry and hardware tools, and promote CI/CD, automated testing, and TDD practices. Provide architectural direction, participate in reviews and documentation, collaborate cross-functionally, and mentor junior engineers.

Lead architecture, design, integration, and optimization of multithreaded embedded C/C++ software for Linux, RTOS, and bare-metal platforms supporting satellite communications. Define scalability, fault-tolerance, recovery, performance, and testing strategies; troubleshoot hardware and software; guide cross-functional technical decisions; and mentor senior engineers while delivering high-quality software for space and ground systems.

Build and operate NVIDIA’s attestation and trust services for confidential computing and GPU platforms. Develop cloud services, verifiers, SDKs, CLI integrations, APIs, and customer-hosted capabilities. Own features from design through deployment, testing, observability, incident response, and maintenance. Improve reliability and security, create conformance tooling, investigate production issues, participate in reviews and on-call rotations, and mentor newer engineers.

Develop and maintain software for real-time 3D visualization, science simulations, virtual human anatomy, medical simulations, and AI applications. Responsibilities include implementing software solutions from design specifications, studying algorithms and user experiences, troubleshooting and debugging existing applications, and collaborating with cross-functional teams. The role is intended for a junior developer with C++, 3D graphics, machine learning, and LLM experience.

Develop and ship behavior and trajectory planning software for L4 autonomous vehicles in dense urban environments. Build optimization, search, and sampling-based planning systems incorporating vehicle constraints, safety, comfort, and road rules. Integrate planning with perception, prediction, mapping, localization, and controls. Create fallback behaviors, simulation benchmarks, evaluation pipelines, debugging tools, and regression automation. Support vehicle integration, on-road issue resolution, safety validation, architecture, and cross-functional collaboration.

Design, develop, and integrate real-time AI/ML sensor algorithms and sensor-control software for heterogeneous autonomous vehicles. Deploy containerized solutions to embedded Linux, perform computer-in-the-loop testing and profiling, support DoD field demonstrations, collaborate across sensor/tracking/autonomy teams, and drive simulation and post-test analysis to improve integrations.

Design and implement CUDA/C++ libraries to accelerate Apache Spark DataFrame and I/O operations, collaborate on distributed multi-node GPU solutions, contribute to open-source projects (RAPIDS, CCCL, UCX), and drive testing, CI, and cross-platform optimization for enterprise deployments.