Software Engineer Jobs in Sunnyvale, CA

Design, build, and maintain large-scale AI/ML platform and infrastructure for training, inference, fine-tuning, and Agentic AI. Develop tools, APIs, reliability metrics, and root-cause analyses across application to hardware layers while improving efficiency, resiliency, monitoring, and observability.

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.

Design, build, debug, and maintain scalable simulation infrastructure for evaluating autonomous driving software at massive scale. Develop new platform features, support distributed scheduling and observability, and participate in on-call rotations while serving engineering, product, data science, and systems engineering customers.

Design and build software tooling, firmware, and infrastructure supporting semiconductor design, verification, manufacturing, and post-silicon validation. Develop scalable compute infrastructure, automation, data pipelines, and low-level hardware-software solutions using C, C++, and Python. Collaborate with hardware and EDA teams, troubleshoot complex issues, conduct design and code reviews, document solutions, and mentor junior engineers.

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.

As a Staff Software Engineer at Samsara, you will lead and develop a high performing team, champion company culture, and contribute to the development of IoT platform solutions.

Analyze and optimize AI/ML workloads across hardware and software, informing SoC architecture, memory design, and HW/SW co-optimization. Define performance measurement frameworks, model bottlenecks, and use MLIR/IREE or similar compiler infrastructure to validate architectural strategies. Collaborate with CPU, SoC, memory, compiler, runtime, and ML framework teams, then present technical recommendations to engineering leadership and product stakeholders.

Lead design and delivery of scalable, cloud-native platform capabilities and AI/ML integrations. Drive full SDLC, ensure reliability and performance, mentor engineers, collaborate with stakeholders, and maintain architecture and documentation.

Design and implement infrastructure automation, self-service platforms, and IaC/CI-CD pipelines to manage provisioning, hardware lifecycle, and fleet-scale operations. Troubleshoot production incidents, drive root-cause analysis, improve observability and reliability, collaborate with datacenter operations and vendors, and participate in on-call rotations to reduce MTTR and operational toil.

Design, implement, verify, and deliver an AI chip simulator and related tools (C++/Python). Collaborate with hardware designers and AI developers, identify requirements, estimate work, and maintain simulator releases as part of the SDK.

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.

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

Own and maintain a Yocto/OpenEmbedded-based embedded Linux distribution for a medical device laptop. Lead hardware bring-up, secure boot and TPM management, field update mechanisms, OS security hardening, platform debugging, platform services, and cross-functional documentation for regulated device development.

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.

Design, build, and maintain high-performance, scalable Java backend services and microservices for Walmart's catalog platform. Troubleshoot production issues, perform root-cause analysis, mentor junior engineers, work in agile teams, and contribute to cross-functional projects while leveraging cloud, CI/CD, NoSQL, and generative AI/ML technologies.

Design, develop, and maintain AI infrastructure services and distributed systems supporting large-scale model training and inference on GPU clusters. Build automation for GPU capacity utilization and fleet scaling, improve reliability, latency, security, and operational efficiency, and provide deployment, monitoring, troubleshooting, and ongoing operational support across Azure and partner cloud environments.

Lead technical direction for a multi-cloud, Kubernetes-based platform: design control planes, multi-cluster topology, workload isolation, identity/trust fabric, and reliability at scale. Drive architecture across teams, build critical control-plane components and operators, influence hyperscaler strategy, and mentor senior engineers.

Lead design and implementation of Kubernetes-based cloud platform capabilities across Azure and GCP. Build operators, reusable abstractions, platform tooling, and improve monitoring, observability, deployment patterns, reliability, and developer experience. Drive architecture, on-call/incident response, cross-team technical influence, and mentor engineers.

Senior Software Engineer focused on AI infrastructure performance insights and observability. Responsible for designing and building monitoring, instrumentation, metrics, and tooling to measure and optimize compute and platform performance while collaborating with infrastructure and ML teams.

As a Senior Software Engineer on the Cash App Banking team, you will lead the design, execution, and delivery of banking features, collaborating across teams to enhance the user experience.

As a Senior Software Engineer II, you'll design and operate a Kubernetes-native platform for AI workload orchestration, improve performance, and mentor engineers.

Lead design reviews and architecture in a Kubernetes-native inference platform, improve latency and reliability, mentor engineers, and implement optimizations.