Software Engineer Jobs in Sunnyvale, CA

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.

The Software Engineer, Developer Productivity will design and optimize build systems, CI/CD pipelines, and developer tools to enhance engineer workflows and leverage AI productivity tools.

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.

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.

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.

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.

As a Senior Full-Stack Software Engineer, you will design, build, and ship AI-powered systems to optimize workflows in the single family rental market, focusing on backend services and full-stack development in a fast-paced environment.

Build and improve ML infrastructure and model pipelines for autonomy: optimize models (quantization, pruning, low precision), maintain and profile GPU ML compilers and runtimes, develop a model compiler framework (FTL), and collaborate with autonomy teams to validate and deploy optimized models to fleet vehicles.

Build and scale ML infrastructure: automated IaC for GPU/CPU fleets, high-performance workload scheduling, petabyte-scale ETL, feature caching/storage, and platform abstractions to accelerate model development from experiment to production.

The role involves enhancing engineering productivity through tool and system development, collaborating with teams, and ensuring system reliability.

Design, implement, and optimize low-level compute kernels for parallel ML workloads. Write high-performance C/C++ code, tune instruction-level latency, memory, and bandwidth, profile and debug a low-level software stack, and collaborate with ML and hardware engineers to integrate optimizations into production ML pipelines.

Develop and maintain OTA update systems for secure and efficient software deployment across connected devices, utilizing cloud infrastructure and modern programming practices.

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.

Design, implement, and optimize Linux kernel drivers and low-level userspace libraries for PCIe AI accelerators. Prototype and validate features on pre-silicon platforms, perform first-silicon bring-up, debug hardware/software interactions, profile host I/O paths, deliver tests, and expose telemetry for management and BMC integration while influencing future chip architecture.

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

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.

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.