Top Software Engineer Jobs

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, build, and maintain scalable cloud infrastructure software, network automation, and systems for dynamic multi-tenant environments. Develop secure distributed systems, APIs, and networking solutions; collaborate across teams and with partners; contribute to open-source projects; communicate roadmaps and technical progress; and own solutions from development through production.

Design and build software-defined networking infrastructure using EVPN and BGP architectures. Develop networking software, conduct code reviews, collaborate on underlay network architecture, implement multi-tenant networking solutions, establish networking strategies, and lead complex projects while ensuring high standards for reliability and correctness.

Design, implement, and improve NVIDIA’s CUDA Driver and programming models, including CUDA Graphs and GPU kernel scheduling for AI/ML workloads. Lead cross-team development, define CUDA API improvements, develop well-tested code across operating systems, and address system-level challenges involving operating systems, memory, threads, and GPU architecture.

Develop and operate unified communications software and infrastructure across Microsoft Teams Rooms, Cisco Webex RoomOS, Zoom, Google Meet, and Slack. Build API integrations, full-stack tools, automation, observability, and AI-assisted capabilities using Python, Bash, JavaScript, PowerShell, and cloud services. Manage provisioning, policies, firmware, incident response, meeting reliability, and user experience metrics while partnering cross-functionally to troubleshoot rooms, clients, cloud services, and networks.

Develops EDA and CAD tools that improve custom circuit design productivity. Responsibilities include software development across the tool lifecycle, GUI and database design, testing, deployment, maintenance, silicon data and timing analysis support, infrastructure improvements, and collaboration with backend, hardware, and design automation teams.

Leads architecture and development of NVIDIA’s network visibility platform, integrating topology, configuration, telemetry, active measurement, change intelligence, and self-service tools. Builds authoritative network models, defines observability and measurement strategies, establishes data contracts and quality standards, and delivers health, path, and blast-radius insights. Drives cross-functional roadmaps, build-versus-buy decisions, operational tradeoffs, and technical mentorship across large-scale infrastructure systems.

Build and maintain scalable Java services for Clear Street’s cloud-native brokerage platform. Responsibilities include developing authentication, authorization, and client data services; solving complex distributed-systems and data challenges; designing performant APIs; mentoring engineers; defining technical standards; and promoting strong system-design and DevOps practices.

Build and scale low-latency ad-serving software handling billions of daily auctions. Responsibilities include developing data- and model-driven features, optimizing algorithms and architectures, reducing cloud costs, extending observability, supporting distributed infrastructure, participating in on-call rotations, and documenting systems and incident procedures.

Leads the technical vision and architecture for Remitly’s Core Transfer Experience organization. Responsibilities include modernizing legacy distributed systems, establishing scalable and reliable backend, mobile, and web architectures, driving incremental migrations, setting operational excellence standards, enabling AI-native experiences, and influencing strategy across multiple engineering teams. The role requires hands-on technical leadership, mentoring, cross-functional partnership, and ownership of high-traffic customer-facing systems.

Software Engineer Interns design, build, test, and debug production-quality software for autonomous systems. Projects may involve applications, embedded flight software, firmware, machine learning, simulation, APIs, data pipelines, or cloud infrastructure. Interns analyze requirements, collaborate with engineers using Agile practices, and deliver real features or capabilities during a 10–12 week paid internship.

This role involves developing cloud-based software solutions, participating in Agile processes, and utilizing modern technologies to improve system functionalities and ensure operational efficiency in aviation services.

Design, build, and operate foundational developer infrastructure across CI, build systems, deployment orchestration, and test platforms. Improve build speed, deployment safety, and test reliability while owning services end to end, including SLOs, observability, and on-call responsibilities. Partner with engineering teams to address platform pain points and lead cross-cutting technical projects through production.

Leads technical strategy and architecture for a scalable advertising platform supporting video, server-side advertising, connected TV, programmatic advertising, and new ad formats. Designs distributed systems, evaluates ad technologies, improves reliability and observability, partners across engineering and product teams, mentors engineers, and guides long-term technical investments and roadmaps.

Build full-stack and backend software for supply chain, pricing, quoting, inventory, and manufacturing operations. Design data models, develop production simulations, and integrate equipment telemetry, robotics, and factory automation. Collaborate with hardware and automation engineers, shape platform architecture and product direction, and own solutions from problem definition through deployment. The role requires onsite work in Los Angeles and eligibility for ITAR-controlled projects.

Lead the modernization of Chewy’s fulfillment technology and warehouse management systems. Define architecture, write production code, build resilient cloud and edge systems, develop mobile warehouse applications, establish workflow and integration patterns, and integrate analytics, AI, robotics, and decisioning systems. Provide technical direction across teams, lead design and code reviews, improve engineering practices, and mentor engineers while ensuring high availability, observability, auditability, and operational continuity.

Leads full-stack development for account management capabilities, designing secure, scalable cloud-based applications with Vue.js, TypeScript, and Node.js. Responsibilities include developing microservices, improving reliability and observability, integrating AI-assisted engineering workflows, resolving high-priority issues, mentoring engineers, leading technical ceremonies, and maintaining documentation. The role focuses on authentication, identity and access management, invoicing, payment terms, and address book functionality.

Develop and scale production AI infrastructure supporting large GPU clusters and workloads. Responsibilities include Kubernetes operator and API development, GPU resource scheduling, cluster operations, node health monitoring, telemetry-based reliability improvements, incident analysis, and distributed systems engineering. The role collaborates across teams to improve the performance, availability, and scalability of NVIDIA’s DGX Cloud platform.

Develop platform and system software for NVIDIA GPU and SOC products, including kernel device drivers, firmware interactions, health monitoring, observability platforms, backend data pipelines, and production applications. Build scalable metrics, logging, and tracing systems while collaborating across software, cloud, data center, and product teams. Apply expertise in Linux internals, operating systems, computer architecture, concurrency, performance profiling, CPU-GPU interactions, PCIe, memory hierarchy, and AI workloads.

Develop GPU display system software from proof of concept through production, including architecture, algorithms, implementation, optimization, and debugging. Design features based on DisplayPort, HDMI, and eDP standards; influence GPU, SoC, and platform architecture; collaborate with hardware, software, and OEM/ODM teams; and deliver solutions under tight deadlines.

Develop GPU code generation and compiler optimizations for TensorRT to improve generative AI inference performance. Responsibilities include operator fusion, scheduling, specialization, profiling, debugging, numerical validation, and performance analysis. The role requires C++ software development and GPU architecture expertise, with collaboration across hardware, compiler, kernel, and deep learning teams. Preferred experience includes CUDA, MLIR, GPU kernels, Tensor Core optimization, inference frameworks, and low-level NVIDIA performance tools.

Develop and maintain upstream Linux kernel support for NVIDIA GPU virtualization. Build virtualization features in Rust and C, contribute patch series to the Linux kernel, and work across KVM, QEMU, VFIO, PCIe SR-IOV, memory management, and device lifecycle systems. Debug complex host, hypervisor, driver, firmware, performance, and reliability issues while collaborating with maintainers, partners, and distributed engineering teams.

Lead the technical direction, architecture, development, testing, and global deployment of NVIDIA’s AI agent compute and virtual desktop platforms. Build secure, isolated, cloud-hosted compute services across AWS and Azure, and drive desktop streaming performance for GPU and general-purpose workloads. Partner with engineering, IT, and security leaders to develop a multi-year platform roadmap supporting AI agents and end users.

Build and maintain production software for bare-metal GPU infrastructure across provisioning, hardware validation, firmware management, auditing, remediation, and production handoff. Integrate Redfish and vendor BMC interfaces, automate failure detection and recovery, debug issues spanning hardware, firmware, Linux, networking, and provisioning, and collaborate with vendors and infrastructure teams. The role also uses AI agents and LLM tools extensively for software development, testing, code review, and failure investigation.

Develop and integrate networking software for NVIDIA BlueField and ConnectX platforms supporting large-scale AI infrastructure. Work with customers and internal teams on RDMA and RoCE solutions, troubleshooting issues across applications, libraries, drivers, firmware, and switches. Analyze performance metrics, create automation and test cases, validate fixes, and support deployments from testing through production while documenting technical findings and decisions.