Top Software Engineer Jobs

Lead the architecture and development of scalable APIs, control planes, workflow orchestration, and fleet lifecycle automation for NVIDIA DGX Cloud. Drive integration across cloud systems, Kubernetes, Slurm, and observability platforms while improving reliability and reducing manual operations. Provide technical leadership, mentor senior engineers, influence organizational strategy, and deliver high-scale distributed infrastructure for AI and cloud computing.

Design, develop, optimize, and debug C++ software for ultra-low-latency WebRTC streaming. Implement real-time transport, security, media, and congestion-control protocols; contribute to standards and protocol solutions; define streaming quality KPIs; and integrate software with platform, connectivity, automotive, and hardware systems.

Build and scale evaluation and analysis infrastructure for autonomous vehicle development. Design distributed tooling, services, APIs, CI pipelines, data contracts, schemas, and UI-facing workflows that help AV and ML engineers analyze logs, assess model behavior, debug regressions, and produce metrics. Improve observability, performance, reliability, rollout guardrails, and production readiness while collaborating across AV engineering, data platform, infrastructure, and product teams.

Design and maintain software that models data center power, total cost of ownership, and performance trade-offs across hardware, software, workloads, and deployments. Contribute to architecture, prototyping, testing, regression coverage, debugging, code reviews, and cross-functional interface design. Help resolve complex technical problems, improve engineering practices, and support teammates in adopting effective technologies and processes.

Lead development and optimization of NVIDIA’s Aerial platform for software-defined 5G/6G RAN systems. Develop baseband software in C, C++, Python, and CUDA; optimize CPU, GPU, and NIC performance; troubleshoot and integrate complex modules; conduct testing, demonstrations, benchmarking, and lab trials; and collaborate with engineering teams, customers, and telecommunications partners on system integration and technical solutions.

Build and scale NVIDIA’s AI infrastructure platform for GPU provisioning, configuration, lifecycle management, monitoring, health management, and distributed-system qualification. Develop automation for data center operations and machine learning systems, integrate hardware through AI applications, and work with GPU diagnostics, cluster and network telemetry, Kubernetes or SLURM, Linux, and fault-tolerant distributed architectures.

Develop and maintain automated integration and deployment for components in a Kubernetes-based software stack. Manage third-party dependencies, validate compatibility, maintain integration workflows, troubleshoot cross-component issues, and ensure compatibility with NVIDIA hardware. The role requires extensive Linux software development experience, Python proficiency, Kubernetes and container expertise, and collaboration with QA, CI/CD, development teams, and upstream projects.

Define the technical strategy and architecture for NVIDIA’s autonomous, AI-driven enterprise IT operations. Build production agentic systems using LLMs, tool calling, RAG, orchestration, and human-in-the-loop safeguards. Lead integration platforms across ServiceNow, ERP, procurement, and endpoint systems while establishing standards for reliability, evaluation, observability, security, and governance. Drive cross-organizational technical alignment, make major architecture decisions, mentor senior engineers, and scale adoption of agentic platforms.

Owns the design, development, and operation of Kubernetes management-plane software for customer-managed AI and HPC infrastructure. Responsibilities include building cluster lifecycle capabilities, Kubernetes controllers and operators in Go, automated provisioning, distributed-system reliability and security improvements, CI/CD and testing, technical leadership, cross-team coordination, mentoring, and production troubleshooting.

Architect and lead a full-stack release management platform supporting multi-tenant, multi-environment workflows across hardware platforms. Responsibilities include domain modeling, state machines, data pipelines, validation and promotion systems, API standards, frontend architecture, security, observability, deployment strategies, incident response, and database migrations. The role mentors engineers, leads architecture reviews, aligns with product and release stakeholders, and drives large-scale platform development from inception through production.

Lead architecture and roadmap for Azure PostgreSQL systems; design and review scalable, maintainable database engine features (query processing, storage, transaction logging, recovery, versioning, IO, scale-out). Influence coding standards and run code reviews, write proof-of-concept or production code, contribute to open-source PostgreSQL/Linux, and participate in rotational on-call operations.

Design and develop a scalable agent runtime platform for Microsoft 365 Copilot and AI agents. Responsibilities include system architecture, cross-team technical design, AI-native engineering, code reviews, debugging, observability, safe deployments, incident response, and improving reliability, security, performance, and maintainability. The role supports long-running tasks, extensibility, multi-agent collaboration, and LLM-powered workflows.

Principal Software Engineer responsible for designing, coding, testing, deploying, and operating AI-powered applications, agents, integrations, and workflows. Leads architecture, reliability, observability, security, compliance, experimentation, and production support while mentoring engineers and coordinating cross-team delivery. The role requires building scalable, maintainable solutions, managing dependencies, driving engineering excellence, and responding to live-site incidents through on-call responsibilities.

Design, develop, and maintain secure, scalable full-stack applications using Java, Spring Boot, Angular, Kafka, REST APIs, microservices, and cloud-native practices. Build event-driven systems, optimize databases, troubleshoot production issues, improve reliability and performance, participate in Agile engineering practices, and mentor engineers. Translate business requirements into maintainable technical solutions while applying security, testing, CI/CD, observability, and operational excellence standards.

Maintain, debug, enhance, and modernize over 200 Visual Basic manufacturing applications within a Manufacturing Execution System. Integrate automation systems with PLCs, Hirata, and iFIX, support production operations, lead legacy-code migrations, implement change management and documentation standards, and collaborate with IT and manufacturing business teams.

Lead architecture and implementation of LangSmith platform features across Go, Python, and TypeScript. Collaborate with product and design teams, mentor engineers, drive project timelines, and deliver clean, tested software. Build and scale APIs and data-intensive applications using backend and frontend technologies, PostgreSQL, and Redis while engaging with enterprise customers and internal stakeholders.

Design, develop, test, and deploy software or firmware components within an Agile team. Create prototypes, automate deployment and tests, resolve production issues, maintain documentation, participate in code reviews, and follow security and modern delivery practices.

Own the technical direction and delivery of Benchling’s internal tools and automation portfolio. Build production systems, SaaS integrations, workflow orchestration, CI/CD, and secure enterprise infrastructure. Partner with internal teams to identify automation opportunities, graduate prototypes into reliable systems, support production operations, enable non-engineering builders, and establish engineering standards. The role also includes technical hiring, mentoring, architecture, threat modeling, and selective application of LLMs and agentic workflows.

Develop and maintain production software for life science instruments, including licensing applications, Windows installers, diagnostic utilities, and support tools. Build Angular, Python, MongoDB, and REST-based applications; integrate software with connected devices; troubleshoot hardware, firmware, drivers, and SDKs; and own software through design, testing, release, and long-term support. Partner with Operations and Manufacturing on instrument builds and production releases.

Build and operate highly scalable Go backend services and data infrastructure for the AT Protocol ecosystem. Scale systems to support hundreds of millions of users, hundreds of millions of events, petabytes of NVMe storage, thousands of CPU cores, and tens of terabytes of RAM. Responsibilities include developing mission-critical services, managing production operations, and working with databases, distributed systems, operating systems, networking, and storage technologies.

Develop and deploy reliable real-time software for Starlink network switches, servers, ground antennas, and satellites. Own software throughout architecture, implementation, testing, deployment, and support. Build testing and monitoring tools, prototype network technologies, manage experiments, and optimize data routing, traffic, and bandwidth across satellite and ground networks.

Own and deliver a product surface end-to-end within PayZen's provider and partner platform. Build reliable, AI-native features in a compliance-regulated environment (HIPAA/PCI-DSS/SOC 2), identify gaps, write clear stakeholder-facing documentation, mentor junior engineers, participate in hiring, and automate shared tooling.

Develop and maintain Ruby on Rails applications, write and review code, troubleshoot bugs, and collaborate with developers, QA engineers, product managers, and designers. The intern will receive mentorship while contributing to financial technology products and learning about scalable systems, testing, APIs, Agile methods, and consumer finance.

Build and scale secure backend microservices for payments, disbursements, and governance, risk, and compliance workflows. Design distributed systems capable of handling millions of daily requests using Google Cloud and modern infrastructure tools. Collaborate with product, operations, and compliance teams, mentor junior engineers, and improve platform capabilities through analytics and user feedback. The role requires strong software engineering fundamentals, REST API experience, fintech or financial systems knowledge, and familiarity with event-driven and hexagonal architectures.

Build and scale secure backend microservices for payments, disbursements, or governance, risk, and compliance. Design distributed systems handling millions of daily requests, integrate Google Cloud services, implement financial and compliance workflows, and maintain high performance and security. Collaborate with product, operations, and compliance teams, mentor junior engineers, and continuously improve platform capabilities through analytics and user feedback.