דרושים Research Scientist Design Automation - New College Grad ב-אנבידיה ב-ארהב

What you’ll be doing:

• Act as a technical advisor, collaborating with partner engineering teams on architecture, integration, and code for Isaac Sim, Isaac Lab, and AI-enabled robotics solutions.

• Build and maintain deep expertise in NVIDIA robotics SDKs, with a focus on simulation and robot learning.

• Track emerging trends in the robotics ecosystem to identify new opportunities.

• Co-design and deliver advanced robotic solutions with partners—defining objectives, architecture, milestones, and implementation plans.

• Create technical enablement resources such as sample code, reference architectures, integration guides, and workshops.

• Work closely with partner engineering leaders and decision-makers to identify challenges, recommend solutions, and drive adoption of NVIDIA robotic technology.

• Represent partner needs internally, providing feedback to NVIDIA’s product and engineering teams to influence future roadmaps.

• Support product launches and go-to-market activities with technical validation, demos, and customer-facing materials.

What we need to see:

• 10+ years in the technology industry, with at least 5 years in hands-on software development or engineering.

• Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field—or equivalent experience.

• Whole software development lifecycle experience—from requirements and design to testing, integration, and support.

• Technical background in at least one of: robot foundation models, simulation, synthetic data, robot perception, reinforcement learning, or imitation learning.

• Expertise with robotics simulation tools (e.g., Gazebo, MuJoCo, Isaac Sim, Robot Studio).

• Experience leading technical workshops, code reviews, and architectural design sessions.

• Strong communication skills for technical and executive audiences.

• Ability to structure and deliver complex technical engagements.

Ways to stand out from the crowd:

• Experience with NVIDIA tools and libraries (CUDA-X, Isaac Sim, OpenUSD, Cosmos).

• Recent hands-on experience with robot simulation tools.

• Knowledge of AIOps, cloud-native technologies, Kubernetes, Docker, and monitoring tools.

• Proven success growing developer ecosystems through technical enablement.

What you'll be doing:

• Research, design and implement novel methods for efficient deep learning.

• Publish original research.

• Collaborate with other team members and teams.

• Mentor interns.

• Speak at conferences and events.

• Work with product groups to transfer technology.

• Collaborate with external researchers.

What we need to see:

• Completing or recently completed a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or have equivalent research experience.

• Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.

• Background in pruning, quantization, NAS, efficient backbones, and so on, is a plus.

• Experience with large language models and large vision-language models is required.

• Excellent programming skills in Python and PyTorch; C++ and parallel programming (e.g., CUDA) is a plus.

• Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.

• Outstanding research track record.

• Excellent communications skills.

alignment, principledapproaches to synthetic data generation and filtering, advanced reasoning and inference algorithms for LLMs, novel learning paradigms and LLM architectures, and scientific understanding about the fundamental limitsand capabilitiesof LLMs. You will work within an amazing and collaborative research team that consistently publishes at the top venues in machine learning andnatural language

What you'll be doing:

• Explorealternative avenuesto unlock new capabilities in language models, including advanced knowledge acquisition techniques and innovative learning and decoding algorithms.

• Innovate newlearning paradigmsthat incorporate agency into the training of language models, such as enabling self-reflection and targeted knowledge enhancement.

• Enable learningfrom multi-modalitiesbeyond written text, such as acquiring physical commonsense knowledge through interactions with real-world environments.

• Publish original research.

• Collaborate with other team members and teams.

• Mentor interns.

• Speak at conferences and events.

• Work with product groups to transfer technology.

• Collaborate with external researchers.

What we need to see:

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

• At least 6 years of research experience (demonstrated by publication records spanning across 5+ years) in artificial intelligence, machine learning, natural language processing, computer vision or related subjects

• A history ofresearch successexemplified by a strong publication record and awards.

• Excellent knowledge of theory and practice of deep learning and natural language processing.

• Background in LLM training, alignment, and evaluation is expected.

• Excellent programming skills in Python and PyTorch.

• Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.

• Excellent communications skills.

What you'll be doing:

• Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon hardware design and related data

• Support circuit design engineers to automate typical design tasks and improve efficiency

• Build flows and methodology around vendor EDA tool and design collaterals to streamline design and verification workflows

• Work closely with design engineers to support the existing development infrastructure, identify possible improvements and solutions

• Employ good software engineering practices to develop complex and scalable systems

What we need to see:

• MS/PhD preferred in Computer Science/Engineering or equivalent experience

• 3+ years of experience in VLSI CAD flows and methodology

• Prior experience and background in VLSI is required

• Strong programming skills in multiple languages (C++, Tcl, Python, Makefile or other scripting languages)

• Good interpersonal skills, quick learner, proactive, innovative, highly motivated, and committed.

Ways to stand out from the crowd:

• Experience with design collaterals such as .v, .gv, .lib, gds, etc...

• Enjoy working with multiple levels and teams across organizations

• Effective interpersonal and technical presentation skills

• Self-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the team

What you'll be doing:

• Work on the state of the art processor design in advanced technologies, and on the design, verification and characterization of SRAM

• Drive the concepts of the transistor level circuit design, modeling and performance analysis process and optimize design for power, timing, area and yield

• You'll make the layout floorplan and work with layout designers to optimize it for power and performance

• Collaborate with the support development of tools using Perl/Python

• We will have creative new ideas to support existing tools and flows

• Develop and Perform timing characterization and circuit verification

• You'll have a voice to collaborate with cross function teams with regards to sram issues

• Use Verilog, VHDL, simulators and waveform debugging tools. Write RTL and perform verification against circuit

What we need to see:

• MS in Electrical or Computer Engineering or equivalent experience

• 4+ years of relevant experience

• Strong background in deep submicron process issues

• Proven experience on transistor-level circuit design and circuit behavior analysis

• Deep background of the design, verification and characterization of SRAM/caches

• Strong understanding on generatingperformance/power/margindata of SRAM, validation of data and QA process

• Familiar with EMIR/Aging/Self heating and their impacts to circuit/layout implementations and signoff flows

• Expert with ASIC design semi-custom and full-custom flow

• Hands-on experience running SPICE simulation, and capability to adapt to new simulation tools

• Strong proficiency in scripting language, such as, Perl, Tcl, Make, and automation methods/algorithms a certain plus

• Great team-work, communication and analytical skills

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.

• Be an integral part of the team defining, developing, and delivering system-level methodologies and RTL to measure performance on the industry's leading GPUs and SOCs

• Define, develop, and automate flows and methodologies to efficiently build, deliver, and support a system-level IP

• Deliver IP and support projects by applying the performance monitoring system

• Run and debug RTL checks to ensure design quality (e.g., cross clock domains (CDC), clocks, reset, latency, and more)

• Design and implement RTL features (microarchitecture and RTL)

• Work with architects, designers, and software engineers to accomplish your tasks

• BS or equivalent experience in Electrical Engineering, Computer Engineer, or related degree required, advanced degrees (MS, PhD) a plus

• 3+ years of relevant industry experience and strong coding skills in Perl/Python or other industry-standard scripting languages

• Experience in RTL design (Verilog), verification (SystemVerilog), System-On-Chipdesign/implementationflow, and design automation

• Good understanding of SOC architecture, including CDC, multiple-power domains, performance analysis, latency, and data flow

• Excellent debugging and analytical skills

• Exposure to design and verification tools (dc_shell or equivalent synthesis tools, VCS or equivalent simulation tools, debug tools like Debussy, GDB)

• Great communication and collaboration skills to interact within the team and with cross-functional teams

• Hands on experience in object-oriented programming

• Prior design on system level IP (Clocks/DFT/Resets)

• Experience developing methodologies used by others

• Hands- on silicon debug is a plus.

• Exposure to physical design