דרושים United States, Pennsylvania, Systems Programmer ב-United States

What you will be doing:

You will be responsible for design, development, and delivery of core components of our next-generation VLSI productivity platforms.

• Design, build, deploy, and improve highly scalable systems

• Translate high-level requirements into actionable plans/deliverables

• Leverage LLMs to accelerate (not replace) your contribution while taking ownership of your output

• Convert legacy codebases into modern powerhouses infused with industry best-practices

• Collaborate with engineering teams to identify and alleviate bottlenecks in their daily tasks

What we need to see:

• B.S. CS/EE (or equivalent experience)

• 5+ years developing large-scale software applications in Go and Python

• Solid computer science fundamentals in algorithms/datastructures/complexityanalyses

• Understand processes, synchronization, locks, concurrency, and load-balancing

• Excellent grasp of distributed systems and compute abstractions

• Experience building custom solutions around open-source products and libraries to solve feature-gaps fast

Ways to stand out from the crowd:

• 5+ years in an enterprise engineering environment, shipping at scale

• Experience in partitioning and optimizing complex interconnected systems

• Understand filesystems, job-scheduling, and inter-process signaling

• Highly self-sufficient in the face of ambiguity, with strong reasoning and problem-solving skills

• Rapid comprehension of existing codebases (in any language) to implement high-leverage changes effectively

What you'll be doing:

• Building and maintaining infrastructure from first principles needed to deliver TensorRT LLM

• Maintain CI/CD pipelines to automate the build, test, and deployment process and build improvements on the bottlenecks. Managing tools and enabling automations for redundant manual workflows via Github Actions, Gitlab, Terraform, etc

• Enable performing scans and handling of security CVEs for infrastructure components

• Improve the modularity of our build systems using CMake

• Use AI to help build automated triaging workflows

• Extensive collaboration with cross-functional teams to integrate pipelines from deep learning frameworks and components is essential to ensuring seamless deployment and inference of deep learning models on our platform.

What we need to see:

• Masters degree or equivalent experience

• 3+ years of experience in Computer Science, computer architecture, or related field

• Ability to work in a fast-paced, agile team environment

• Excellent Bash, CI/CD, Python programming and software design skills, including debugging, performance analysis, and test design.

• Experience with CMake.

• Background with Security best practices for releasing libraries.

• Experience in administering, monitoring, and deploying systems and services on GitHub and cloud platforms. Support other technical teams in monitoring operating efficiencies of the platform, and responding as needs arise.

• Highly skilled in Kubernetes and Docker/containerd. Automation expert with hands-on skills in frameworks like Ansible & Terraform. Experience in AWS, Azure or GCP

Ways to stand out from the crowd:

• Experience contributing to a large open-source deep learning community - use of GitHub, bug tracking, branching and merging code, OSS licensing issues handling patches, etc.

• Experience in defining and leading the DevOps strategy (design patterns, reliability and scaling) for a team or organization.

• Experience driving efficiencies in software architecture, creating metrics, implementing infrastructure as code and other automation improvements.

• Deep understanding of test automation infrastructure, framework and test analysis.

• Excellent problem solving abilities spanning multiple software (storage systems, kernels and containers) as well as collaborating within an agile team environment to prioritize deep learning-specific features and capabilities within Triton Inference Server, employing advanced troubleshooting and debugging techniques to resolve complex technical issues.

What you will be doing:

You will be responsible for design, development, and delivery of core components of our next-generation VLSI productivity platforms.

• Design, build, deploy, and improve highly scalable systems

• Translate high-level requirements into actionable plans/deliverables

• Leverage LLMs to accelerate (not replace) your contribution while taking ownership of your output

• Convert legacy codebases into modern powerhouses infused with industry best-practices

• Collaborate with engineering teams to identify and alleviate bottlenecks in their daily tasks

What we need to see:

• B.S. CS/EE (or equivalent experience)

• 5+ years developing large-scale software applications in Go and Python

• Solid computer science fundamentals in algorithms/datastructures/complexityanalyses

• Understand processes, synchronization, locks, concurrency, and load-balancing

• Excellent grasp of distributed systems and compute abstractions

• Experience building custom solutions around open-source products and libraries to solve feature-gaps fast

Ways to stand out from the crowd:

• 5+ years in an enterprise engineering environment, shipping at scale

• Experience in partitioning and optimizing complex interconnected systems

• Understand filesystems, job-scheduling, and inter-process signaling

• Highly self-sufficient in the face of ambiguity, with strong reasoning and problem-solving skills

• Rapid comprehension of existing codebases (in any language) to implement high-leverage changes effectively

As a member of our NVLink team, you will be responsible for driving feature enablement on GPU systems and developing software tools and infrastructure for our next-generation GPU's which enables high-performance interconnect of multi-GPU systems. Familiarity with high-performance systems and networking protocols and architectures is a bonus.

What you'll be doing:

• Drive platform bringup, feature enablement and debug on GPU systems. Triage and resolve software and firmware issues uncovered in systems qualification runs.

• Collaborate with architecture, hardware and firmware and software teams on firmware design with a focus on debug and test (DFx) and end-to-end performance. Delight customers by incorporating findings from the customer engagements into future products.

• Log bugs and track issues to closure across impacted product lines.

• Work on developing AI based automation tools and infrastructure to improve our firmware development, regressions and verification process

What we need to see:

• BS or MS (or equivalent experience) degree in EE/CS or related field

• 5+ years of minimum experience in a software verification role

• Excellent debugging and analytical skills

• Software Development/ Verification knowledge is a bonus

• Experience with Python/Perl/C/C++

• Familiarity with computer system architecture, microprocessors, and microcontroller fundamentals (caches, buses, DMA, etc).

• Excellent interpersonal skills and ability to collaborate with on-site and remote teams

Ways to stand out from the crowd:

• You're passionate about low level softwaredevelopment/debug/verification

• Experience with AI and DL tools and technologies

• Experience with RTOS/RISCVprogramming/debugging

• Ability to work independently with minimum supervision

• Schedule oriented with excellent execution abilities

What you’ll be doing:

• Develop innovative parallel computing technologies that equip programmers with the compilers, languages, runtime systems, tools, and algorithms needed to solve challenges with modern accelerated systems.

• Collaborate with other researchers and engineers to extend the state of the art in parallel computing, machine learning, data analytics, and other technology areas surrounding NVIDIA's business. Deliver your innovations in high-quality software systems, publications, and patents.

• Engage with the research community through collaborations, publications, and presentations that produce new technologies and promote education in accelerated computing.

What we need to see:

• Completing or recently completed a Doctoral degree (Ph.D.) or equivalent experience in a computational field such as computer science, computer engineering, or scientific computing.

• Creativity in developing innovative solutions to the problems faced by parallel programmers and the skill to implement them in software.

• Expertise in parallel programming and algorithmic techniques.

• Strong programming ability in one or more of the following languages: C, C++, Rust and Python.

• Track record of research excellence and publications that demonstrate your body of work.

• Relevant research and software development experience.

Ways to stand out from the crowd:

• Expertise in applying programming system insights and techniques to problems in machine learning, data science, and distributed computing.

• Ability to implement ideas in the CUDA programming model.

• Experience with applying AI, such as large language models, to create new ways of solving the problems of software engineering.

• Prior success in building software systems used by other developers to solve their own problems.

What you'll be doing:

• You will be managing a team of software engineers passionate about developing tools and software/firmware solutions for next generation NVLink systems in the data center.

• Provide technical direction and strategic leadership in the design, development, and deployment of debug tools using LLMs, agentic AI , and related technologies and their integration into production systems.

• Be the primary technical leader passionate about developing debug features into the software stack.

• Collaborate with software, firmware and platform teams to direct the investigation and resolution of complex issues in the software/firmware stack.

• Align priorities across collaborators and define metrics for measuring the success of the product/team.

What we need to see:

• BS+ degree in CS or related or equivalent experience.

• 10+ overall years of industry large distributed system software development experience.

• 4+ years of experience managing of AI /SW development teams.

• Experience debugging functional and performance issues in complex software /firmware systems

• Strong technical foundation in software engineering, particularly Python, data structures, and system design.

• Excellent communication, collaboration and problem-solving skills, with a dedication to encouraging an inclusive and diverse workplace.

• Demonstrated success in leading cross-functional teams across architecture, firmware/hardware interfaces