דרושים Senior Software Program Manager - Datacenter Compute Server ב-אנבידיה ב-ארהב

What you'll be doing:

• Develop new Deep Learning models for automatic speech recognition, speech synthesis, neural machine translation and natural language

• Design new large scale training algorithm

• Open-source models using NeMo conversational AI frameworks

• Mentor interns

• Publish research papers on top speech and NLP conferences

• Collaborate with universities and research teams.

What we need to see:

• PhD in Computer Science or Electrical Engineering (or equivalent experience)

• Proven understanding of Deep Learning for Natural Language Processing or Speech Recognition

• At least 5 years of research experience in speech recognition or NLP

• Excellent Python programming skills

• Experience with PyTorch

• Strong publications record

Ways to stand out from the crowd:

• Contribution to open-source projects

• Being reviewers for one of the top speech conferences

NVIDIA is seeking a Sr. Systems Software Engineer for the Apache Spark Acceleration group. Over the past five years GPU accelerated data processing has moved from proof of concept to production deployments. Many enterprises are now recognizing the needs of accelerated computing to handle their large data processing needs. Multi-node GPU deployments will reduce cloud computing costs and lower latency batch ETL workloads.

At NVIDIA, we have been invested in accelerating Apache Spark, providing an open source plugin for Apache Spark. Apache Spark is the most popular data processing engine in data centers. We strive to accelerate Spark applications on GPUs without any code changes. We are passionate about working on hard problems that have an impact. You will need to have strong programming skills, a deep understanding of software development related to C++. You will work with a team that is using open source libraries like RAPIDS to accelerate reading, writing and batch data operations in Spark.

What you'll be doing:

• Develop CUDA/C++ libraries to accelerate DataFrames and I/O operations on common file formats such as Parquet, ORC and JSON

• Collaborate with distributed systems teams to craft solutions to distributed processing problems challenges at large scale

• Work with open source communities to enhance libraries like RAPIDS, CCCL and UCX through technical discussion and code contributions

• Provide recommendations and feedback to teams regarding decisions surrounding topics such as infrastructure, continuous integration and testing strategy

• Build, test and optimize CUDA/C++ libraries across different platforms

What we need to see:

• BS, MS, or PhD in Computer Science, Computer Engineering, or closely related field (or equivalent experience)

• 12+ years of work experience in software development

• Outstanding technical skills in designing and implementing high-quality distributed systems

• Excellent programming skills in C++, Java, and/or Scala

• Ability to work with teams across organizational boundaries and geographies

• Highly motivated with strong interpersonal skills

• OS kernel dev experience is a strong plus

What you'll be doing:

• Use AI to solve product challenges in gaming and other interactive experiences.

• Build upon the latest research to create world-class conversational pipelines for AI assistants and agents.

• Improve and fine-tune language models and retrieval-augmented generation solutions for accuracy and performance.

• Build prototypes to demonstrate real-life applications of your ideas and to accelerate productization.

• Collaborate with NVIDIA's internal and external teams, including AI/DL researchers, hardware architects, and software engineers.

• Participate in technology transfers to and from teams across NVIDIA.

What we need to see:

• PhD or Master’s degree in Computer Science/Engineering, Machine Learning, AI, or related fields; or equivalent experience.

• 12+ years of work experience with last 5+ years focused on language models, AI assistants, and agents.

• Proficiency in C, C++, and Python, with the ability to write high-performance production code.

• Experience with GPU programming, CUDA, and system optimizations is a significant plus.

• A track record of proven research excellence, demonstrated through presentations, demos, or publications at leading venues such as GDC, ICCV/ECCV, SIGGRAPH, or other research artifacts such as software projects or significant product development.

AI-powered machines can learn, reason, and interact with people, thanks to GPU deep learning. We offer competitive salaries and great benefits as a top tech employer with leading talent.

What you’ll be doing:
As a Software Development Engineer in Test, you will take part in technical design and implementation of tests for NVIDIA software products with the goal to identify defects early in the software development lifecycle. You will also build tools that accelerate execution workflows for the organization. In this role you can expect to:

• Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on various Windows and Linux operating systems.

• Develop automated end to end tests for NVIDIA device driver and SDKs on windows platform. Execute manual and automated tests, identify, and report defects. Measure code coverage, analyze and drive code coverage improvements.

• Develop applications and tools that bring data driven insights to development and test workflows.

• Build tools/utility/framework inPython / C / C++ which would help automate and optimize the testing workflows in GPU domain.

• Write maintainable, reliable, and well detailed code. Debug issues to identify the root cause. Provide peer code reviews including feedback on performance, scalability, and correctness

• Optimally estimate and prioritize tasks in order to create a realistic delivery schedule and work on challenging technical and process issues.

• Generate and test compatibility across a range of products and interfaces.

• Work closely with leadership to report progress by generating effective and impactful reports

What we need to see:

• B.E./B. Tech degree inComputer Science/IT/Electronics engineeringwith strong academics or equivalent experience

• 5+ years of programming experience in Python/C/C++ with experience in applying Object-Oriented Programming concepts.

• Hands-on knowledge of developing Python scripts with application development concepts like dictionaries, tuples, RegEx, PIP etc.

• Good experience with using AI development tools for test plans creation, test cases development and test cases automation

• Experience with testing RESTful APIs and the ability to conduct performance and load testing to ensure the application can handle high traffic and usage.

• Experience working with databases and storage technologies like SQL and Elasticsearch

• Good understanding of OS fundamentals, PC Hardware and troubleshooting.

• Skillful at debugging issues and have experience using debugging tools like WinDBG/gdb

• The ability to collaborate with multiple development teams to gain knowledge and improve test code coverage

• Excellent written, verbal, analytical and problem-solving skills and ability to work with a team of engineers in a fast paced environment

Ways to stand out from the crowd:

• Prior project experience with building ML and DL based applications would be a plus

• Good understanding of testing fundamentals

• Good problem solving skills (solid logic to apply in isolation and regression of issues found).

What you'll be doing:

• Lead documentation planning and prioritization sessions with cross-functional partners, embedding documentation requirements into Product Sprint Goal PRDs from day one

• Manage documentation workflow using Kanban, maintaining clear ownership, dependencies, and status visibility while tracking delivery through sprint cycles and product releases

• Champion Context Kits (structured prompts and guidelines) that help distributed teams build quality documentation with AI assistance, streamlining reporting and revealing operational insights

• Report on critical metrics including coverage, cycle time, sprint predictability, and developer satisfaction, identifying blockers and resolving delivery impediments

• Work closely with Technical Program Managers to integrate documentation checkpoints into release trains, facilitating backlog refinement, stand-ups, and retrospectives

What we need to see:

• Bachelors Degree (or equivalent experience) with 8+ years in program management, technical operations, or agile delivery with strong proficiency in Jira, Confluence, and agile tracking tools

• Proven track record coordinating work across matrixed organizations with clear communication style—leading effective meetings, writing streamlined updates, and aligning collaborators

• Active AI tool user (ChatGPT, Claude, Copilot, or similar) who demonstrates data-driven decision-making and can influence without authority across Product, Engineering, Marketing, and Customer Success

Ways to stand out from the crowd:

• Experience coordinating developer documentation in platform or SaaS companies, working alongside Technical Program Managers in complex product organizations

• Hands-on experience with Agile/Scrum/Kanban, continuous delivery, and docs-as-code workflows (Git, Markdown, static site generators)

• Demonstrated process improvements that measurably boosted team efficiency, with knowledge of developer platforms, SDKs, APIs, or simulation technologies

• Background in gaming, graphics, AI, or high-performance computing with proven AI workflow optimization—status reports, meeting summaries, workflow analysis, documentation reviews

• Developed tailored GPTs, prompt libraries, Context Kits, or reusable templates that optimized team efficiency and content quality