Senior Chip Design Engineer

NVIDIA is looking for an excellent Senior Firmware Verification Engineer for NVIDIA FW PHY verification Group. The person will be part of FW PHY verification of NVIDIA Products. Will closely work with NVIDIA FW PHY development, architecture teams and gain deep understanding of NVIDIA's products and technologies. What you'll be doing: Own the responsibility for delivering Networking features and their verification aspects. Define, develop and maintain verification infrastructure and regression tests suites - make test suites robust, maintainable and easy portable. Work with continuous integration system, regression tools, automate builds, run test suites and analyzing results. Innovate! Bring NVIDIA product to next quality level What we need to see: B.Sc. in Computer Science / Computer Engineering / Electrical Engineering / Communication Engineering 5+ year of relevant experience working with established brands Experience with Verification and Automation Programming Knowledge in C and C ++, object-oriented OOP Knowledge in Linux Creative, motivated and value-driven person Ways to stand out from the crowd: Background with C/C++ as well as Git Experience with python Experience with Networking applications and protocols Background with CI methodology & tools (Gerrit, Jenkins etc.) NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best chip design team

About the Role: We are looking for a Senior DevOps Engineer to join our DevOps team at K Health. You will own and evolve the infrastructure underpinning a healthcare AI platform serving patients and enterprise health system partners. This is a high-ownership role: you will architect and operate cloud environments across K Health and its enterprise partners, lead complex infrastructure migrations, drive disaster recovery programs, and help build the next generation of AI-powered operations tooling. You will also mentor junior engineers and collaborate closely with product and engineering teams across the company. This is a hybrid role based in New York City (4 days/week in office) and includes participation in a daytime on-call rotation. What you will do: Own the design, implementation, and evolution of our GKE-based Kubernetes infrastructure across K Health and enterprise partner environments. Build and maintain our Terraform modular infrastructure library, including reusable modules with automated testing, across GCP, Cloudflare, and AWS. Architect, build, and maintain GitLab CI/CD shared pipeline templates used by all engineering teams (build, test, security scanning, deployment). Own and maintain self-hosted infrastructure software running in-cluster, including GitLab, ArgoCD, Langfuse, DependencyTrack, NGINX Ingress, and others. Implement and support security and compliance controls across infrastructure and the software supply chain - secrets management, pipeline secret detection, container scanning, SOC2 and HIPAA. Drive disaster recovery readiness: design failover scenarios, author runbooks, and lead periodic DR tests. Lead development of AI-powered operations tooling and agentic infrastructure. Monitor, troubleshoot, and improve production system reliability; respond to incidents during on-call shifts. Mentor junior DevOps engineers and establish team-wide engineering standards. What we are looking for: 5+ years of experience in DevOps, platform engineering,

About the role: We are seeking a Senior Backend Engineer with deep backend engineering expertise and proficiency in one or more major programming languages (e.g., Python, Java, Go, Rust, or Kotlin), along with a strong understanding of AI models and agents. As a core member of our AI Engineering team, you will collaborate with data scientists, ML engineers, and product managers to build scalable, production-ready infrastructure and APIs that power intelligent systems. What you'll be doing: As a Senior Backend Engineer in the AI Engineering team, you will: Build and maintain reliable, scalable backend services to support AI agent execution and orchestration. Develop AI agent systems for complex operational workflows using LangChain, LangGraph, LiteLLM, and Langfuse. Orchestrate a hybrid model stack that includes OpenAI and Google Gemini alongside self-hosted and fine-tuned LLMs like Gemma and Llama. Build and maintain integrations with clinical systems (FHIR, EMR). Drive observability and reliability using OpenTelemetry, Datadog, and Langfuse. Design APIs (GraphQL, REST), background workers, and event-driven systems that interface with AI inference engines and agent runtimes. Collaborate with Data Science, ML, and engineering teams to deploy AI features and improve the performance, scalability, and reliability of backend systems. Participate in code reviews, knowledge sharing, and mentoring to elevate the team’s technical capabilities. What we're looking for: 6+ years of backend engineering experience, with strong proficiency in more than one major programming language (such as Python, Java, Go, Rust, or Kotlin). Solid understanding of AI systems architecture and experience working in environments involving AI agents, LLMs, or inference pipelines. Proven experience in building and scaling backend APIs, microservices, and background jobs. Strong experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Redis), including schema des

The NVIDIA PerfTech team is looking for a talented C++ Software Engineer to help build the next generation of AI-powered developer tools. You will apply strong C++ and software-engineering fundamentals while gaining hands-on experience with agentic workflows, retrieval systems, and AI services. In this role, you will contribute to Genie, NVIDIA’s company-wide AI knowledge and developer-productivity service. You will work across C++ tools and AI services to help engineers find information, understand complex systems, and work more effectively. What You’ll Be Doing: Develop production-quality C++ components, APIs, and integrations for NVIDIA’s AI-powered developer-tools ecosystem. Build capabilities connecting native C++ tools with Genie’s retrieval and agentic features. Contribute to agentic workflows, retrieval systems, ingestion pipelines, MCP tools, APIs, and enterprise integrations. Build benchmarks and improve retrieval quality, reliability, performance, and resource usage. Own features from investigation and design through implementation, testing, and delivery. Collaborate with graphics, software, and hardware teams developing performance-analysis and developer tools. What We Need to See: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. 5+ years of modern C++ programming skills gained through professional experience, internships, or substantial technical projects. Good understanding of data structures, algorithms, object-oriented design, multithreading, debugging, and testing. Ability and motivation to work across C++ systems and Python-based AI services. Familiarity with AI-powered applications, agentic workflows, retrieval systems, or related technologies. Abil

The NVIDIA PerfTech team is looking for an outstanding Senior C++ Software Engineer to build the next generation of AI-powered developer tools. You will apply deep expertise in modern C++, systems architecture, performance, and debugging to extend our developer-tools ecosystem into the emerging world of agentic software. In this role, you will help develop Genie, NVIDIA’s company-wide AI knowledge and developer-productivity service. You will build production-quality C++ components and integrations while contributing to agentic workflows and retrieval systems that help engineers find information, understand complex systems, and work more effectively. What You’ll Be Doing: Architect and develop production-quality C++ components, APIs, and integrations for NVIDIA’s AI-powered developer-tools ecosystem. Build reliable, performance-sensitive systems connecting native C++ tools with Genie’s retrieval and agentic capabilities. Design maintainable interfaces between C++ applications and AI services exposed through Python, MCP, REST APIs, and structured tool calling. Contribute to agentic workflows, retrieval systems, ingestion pipelines, evaluation infrastructure, and enterprise integrations. Drive technical initiatives from early exploration through production deployment, working closely with multidisciplinary engineering teams. Mentor engineers and help establish best practices for production-quality AI-powered systems. What We Need to See: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. 5+ years of professional experience developing complex production software in modern C++. Strong knowledge of software architecture, concurrency, debugging, performance optimization, and maintainable API design. Exper

The eBPF APM team is building a zero-instrumentation observability solution that automatically discovers services on every host, supports both plaintext and TLS-encrypted traffic, classifies Layer 7 protocols, decodes service-level traffic, and reports RED (requests, errors, duration) metrics. Leveraging deep expertise in eBPF, the team operates across a wide range of Linux kernel versions, distributions, and complex customer environments. In addition to low-level networking, the team solves challenges related to protocol versioning, TLS detection across diverse languages and runtimes, and resilient performance in production systems We’re looking for a senior engineer with strong systems-level thinking and a good understanding of Linux. You should be comfortable working close to the kernel, ideally with experience in eBPF, or with a strong desire to dive into it. Proficiency in C/C++/ Go is essential, and familiarity with networking protocols, TLS internals, or distributed tracing is a strong advantage. You’ll join a high-impact team tackling ambitious technical challenges—like decoding traffic across multiple protocols, and ensuring high-fidelity metrics in complex, real-world environments. You’ll be expected to lead design and implementation efforts, contribute to roadmap planning, and collaborate across teams to ensure our solution remains robust, scalable, and frictionless for our users. This role is a great fit for engineers who thrive on low-level, performance-sensitive problems, and want to shape the future of observability through cutting-edge kernel technology. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Design and build core components of our zero-instrumentation APM product using eBPF and Go Develop systems to aut