Software Engineer Jobs in Sunnyvale, CA

Build and operate enterprise IAM platforms, integrations, provisioning workflows, and lifecycle automation. Lead CI/CD and infrastructure-as-code initiatives using GitLab, Jenkins, Terraform, Ansible, and Puppet. Develop full-stack IAM services, apply analytics and AI to identity governance, and ensure scalable, reliable, auditable systems. Mentor junior and mid-level engineers, lead technical initiatives, conduct design and code reviews, and collaborate with security, compliance, product, and engineering teams.

Designs and executes system-level validation for large-scale networking and distributed software solutions. Builds scalable automation frameworks, integrates testing into CI/CD, performs performance, resiliency, interoperability, and scale testing, and investigates complex failures using observability and diagnostic tools. The role engages customers and cross-functional engineering teams, translates deployment requirements into validation strategies, mentors engineers, and drives quality, reliability, and operational improvements.

Develop scalable distributed storage management systems for NVIDIA’s large-scale engineering infrastructure. Collaborate with hardware and software teams to define features, optimize workflows, improve software design and testing, and deliver reliable storage solutions. The role requires Linux, storage systems, networked distributed systems, Perl, and Python expertise, with responsibility for architectural decisions balancing cost, performance, reliability, and scalability.

Design, develop, debug, and validate low-level GPU power and performance-management software, including P-state and DVFS functionality. Collaborate across hardware, firmware, drivers, architecture, validation, and platform teams throughout the product lifecycle. Analyze workload, power, thermal, clock, voltage, and telemetry interactions; resolve cross-layer stability and reliability issues; support pre-silicon validation, silicon bring-up, production, automation, and technical documentation.

Develop and maintain software, algorithms, and infrastructure for automated equipment that builds and tests robotic surgical systems, instruments, and accessories. Integrate software with PLCs, sensors, robotics, and electro-mechanical systems; optimize manufacturing processes; support validation activities; improve production software; and collaborate cross-functionally to deliver safe, reliable manufacturing solutions. The role also includes mentoring engineers and driving projects from design through implementation.

Design, build, and maintain infrastructure software for large-scale AI training and inference. Improve efficiency, resiliency, availability, observability, and reliability across distributed AI systems. Develop APIs and tools, analyze failures from application through hardware levels, define reliability metrics, and support NVIDIA AI platforms. The role requires expertise in distributed systems, monitoring, debugging, software engineering practices, and AI infrastructure, with preferred experience in large clusters, RDMA stacks, telemetry, and deep learning frameworks.

Develop realtime 3D rendering and graphics applications using performant, safe C++. Apply modern graphics APIs, shading languages, rendering techniques, image processing, and linear algebra. Own features through prototyping, debugging, optimization, and refinement while collaborating effectively with the engineering team.

Build and operate production network software for GM’s secure hybrid AV infrastructure. Responsibilities include developing Go and Python services, APIs, controllers, network automation, Infrastructure as Code, CI/CD workflows, observability, and SRE capabilities. The role designs scalable GCP and on-premises connectivity, supports high-throughput data ingestion, improves security and reliability, participates in on-call and incident response, and provides technical leadership and mentorship.

Design and build secure, high-performance sandboxed runtime environments for Kubernetes workloads. Develop GPU-aware scheduling, isolation, and resource-management strategies; integrate containers, lightweight virtual machines, and virtualization technologies; optimize container, VM, I/O, and GPU performance; conduct profiling and benchmarking; and contribute to Linux, runtime, virtualization, and GPU architecture decisions.

Develop software infrastructure for intelligent robots, including networking, communication, data collection, telemetry, observability, deployment tooling, debugging, and teleoperation support. Contribute to robot bring-up and field testing, troubleshoot issues across software layers, and collaborate with perception, control, and machine learning engineers to maintain reliable onboard systems and high-quality training data.

Provides technical vision and architecture for AI-native and cloud-native systems at organizational scale. Leads development of AI platforms, evaluation and monitoring frameworks, retrieval pipelines, security guardrails, and distributed systems. Drives ServiceNow platform strategy, technical roadmaps, architectural standards, production reliability, and responsible AI practices. Mentors senior engineers and leaders, influences executives and cross-functional teams, supports strategic customers, leads complex technical initiatives, and contributes to critical software development and innovation.

Lead architecture, development, deployment, and production support for AI-native and cloud-native systems at ServiceNow. Build LLM integrations, agentic workflows, retrieval pipelines, vector systems, evaluation frameworks, and ServiceNow applications. Provide technical leadership, mentorship, customer issue resolution, security oversight, and cross-functional collaboration. Develop with Python, Java, and JavaScript while integrating cloud services, managed AI platforms, Kubernetes, CI/CD, and ServiceNow scripting.

Design, develop, and optimize scalable control-plane software for Zscaler’s Zero Trust Security Services. Responsibilities include implementing networking and security features, writing tested and automated code, troubleshooting distributed systems, collaborating with architects, product managers, customers, and solution architects, and mentoring junior engineers.

Lead architecture and implementation of ServiceNow’s AI Control Tower, an enterprise platform for governing AI models, agents, and datasets. Drive products from 1.0 through customer adoption, establish scalable cloud-native and distributed systems foundations, guide AI-native engineering practices, mentor engineers, conduct architecture reviews, and coordinate with product, design, and partner engineering teams. The role requires hands-on technical leadership across SaaS architecture, data platforms, observability, reliability, security, and enterprise AI infrastructure.

Build and scale Moveworks’ multi-region, multi-cloud AI infrastructure and developer platform. Design secure, resilient, observable, and cost-efficient cloud environments; automate provisioning with infrastructure as code; manage CI/CD pipelines and Kubernetes deployments; support disaster recovery and security improvements; and lead complex platform initiatives from conception through delivery.

Build and scale Moveworks’ multi-cloud AI infrastructure and developer platform. Design secure, resilient, observable, and cost-efficient cloud environments; create automated CI/CD pipelines and infrastructure-as-code workflows; manage Kubernetes and networking; support disaster recovery and security improvements; and lead complex platform initiatives from conception through delivery.

Architect and develop packet-forwarding features for high-performance HPE routers, including IPv4/IPv6, MPLS, SRv6, multicast, GRE, LAG, and tunneling. Collaborate with product managers, test teams, customers, and industry forums; qualify new features and sustain existing software. The role requires strong C and C++ programming, Linux and Python experience, and foundational computer science knowledge.

Designs, develops, and maintains high-performance macOS endpoint security sensor software for CrowdStrike’s Falcon platform. Owns features from design through delivery, troubleshoots customer issues, and collaborates with distributed teams. The role requires systems-level macOS development using Swift, C/C++, Objective-C, and Python, with expertise in concurrency, reliability, debugging, security, and performance. Experience with endpoint security, networking, Network Extension, or cross-platform C++ is advantageous.

Build and operate Block’s data platform, including warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop reliable Python services, developer tools, and Terraform infrastructure for petabyte-scale data. Partner with data practitioners and product teams, establish engineering standards, provide technical direction, and mentor engineers while ensuring security, reliability, observability, usability, and data governance.

Build and operate a scalable data platform supporting warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop Python services, Terraform infrastructure, and developer tools for petabyte-scale data. Partner with data practitioners and product teams, establish security and reliability patterns, set technical direction, improve engineering standards, and mentor engineers.

Build scalable infrastructure-as-code and Kubernetes deployment solutions, automate developer experience and infrastructure reliability, and create observability systems for monitoring production health and performance. Collaborate cross-functionally to align infrastructure solutions with customer needs. The role involves developing and maintaining production systems in public cloud environments, with opportunities to work on distributed applications, cloud networking, software architecture, and security automation.

Own the architecture, implementation, integration, and testing of embedded C/C++ MAC software for 5G NR systems. Develop portable MAC-PHY interfaces, real-time communication flows, shared-memory and multicore synchronization, SystemC virtual platforms, and FPGA/ASIC integrations. Debug hardware-software interactions across simulated and physical SoCs, build automated regressions, and coordinate with PHY, firmware, hardware, verification, and systems teams. The role requires expertise in wireless modem software, 5G NR protocols, embedded Linux, RTOS environments, and real-time resource-constrained systems.

Develop and optimize machine learning models for Waymo’s autonomous driving perception systems. Responsibilities include implementing LoRA and QLoRA fine-tuning in JAX/Flax, building knowledge-distillation pipelines, validating quantization and model optimization techniques, benchmarking latency, and evaluating perception performance across large autonomous-driving datasets. The intern will collaborate with model optimization, hardware, and latency teams while working on multi-task vision transformers and onboard deployment.

Design, develop, test, document, and debug complex software for semiconductor equipment components and devices. Define software specifications and test plans, troubleshoot difficult issues, implement bug fixes, and communicate with customers on requirements, schedules, and technical problems. The role requires expertise in C/C++, .NET, C#, operating systems, networking, algorithms, multithreading, and RPC, with opportunities to lead small projects.

Build and own an onboard live-map estimator for autonomous vehicles, fusing HD map priors with live perception in real time. Develop map change detection, trust semantics, evaluation and regression pipelines, and degraded-mode behavior. Ship modern C++ estimation software on embedded compute while defining interfaces with planner and consumer teams. Extend the system into fleet-based map freshness and correction pipelines.