דרושים Senior Manager Autonomous Vehicles Engineering - Mapping Localization ב-אנבידיה ב-China, Shanghai

Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error — this is truly an extraordinary time and the era of AI has begun.

• Develop, maintain and optimize performance KPIs necessary to deliver NVIDIA’s L2/L3/L4 autonomous driving solutions

• Devise acceleration strategies and patterns to improve software architecture and its efficiency on our computers with multiple heterogeneous hardware engines while meeting or exceeding product goals

• Develop highly efficient product code in C++, making use of algorithmic parallelism offered by GPGPU programming (CUDA)/ARM NEON while following quality and safety standards such as defined by MISRA

• Diagnose and fix performance issues reported on our target platform including on-road & simulation

• BS/MS or higher in computer science or a related engineering discipline

• Excellent C and C++ programming skills

• 10+ years of relevant industry experience

• Strong knowledge of programming and debugging techniques, especially for parallel architectures

• Good understanding of System SW / Operating Systems and Computer architecture

• Experience with performance analysis, optimizations and benchmarking

• You have excellent analytical, written and verbal interpersonal skills

• Understanding of Embedded architectures and Real-time operating systems & scheduling

• Strong mathematical fundamentals, including linear algebra and numerical methods

• Experience implementing algorithms in Robotics, Computer Vision and/or Machine Learning

• Software development experience with CUDA/GPGPU or any data parallel architectures

What you'll be doing:
Maturing and productizing new features entails a diversity of activities, including:

• Architecting new designs to enable new functions or to improve performance.

• Leading engineering efforts to develop, tune, and verify algorithms and software using fundamental physics, control systems, planning algorithms, and/or vehicle dynamics.

• Debugging and addressing different issues identified in simulations and in test drives.

• Collaborating with our globally distributed team to enhance the software architecture, improving development processes and tooling

• Defining and verifying product requirements through detailed analysis,

  simulation
  , in-car testing, and benchmarking existing products.

• Maturing prototype software to production quality.

What we need to see:

• BS or higher in an engineering or technical field (Mechanical, Electrical, Computer Science, Physics, etc.) or equivalent experience.

• 10+ years of practical experience.

• Experience writing software in C++.

• Comfort with an Agile/Scrum software development environment using Gerrit (or similar).

• Comfort developing software with GIT in a Linux environment.

Ways to stand out from the crowd:
We definitely want to hear from you if you are an upbeat contributor with a background that includes one or more of the following:

• Experience shipping automotive software products, especially Autonomous Driving or ADAS.

• Exposure to regulatory standards such as ISO 26262 and safety decompositions (ASIL) or an industry equivalent.

• An expertise in fundamental physics - kinematic and dynamic models of rigid bodies.

• Background with traditional planning algorithms (A*, D*, RRTs, probabilistic roadmaps, etc.).

• Experience building safety critical software architectures.

• Experience building deep learning based prediction/planning system

delivers industry-leading AI scale-up and scale-out performance withtechnology plus semi-custom ASICs or CPUs. NVIDIA is seeking a Senior

What you'll be doing:

• Responsible for ASIC design verification for various IPs at IP and SOC levels

• Responsible for reference model development and integration

• Participate in IP/SOC architecture, micro-architecture reviews, interface with Architecture, SW/FW, Design, and Modeling to work out comprehensive first-time right verification plans

• Contribute to the innovative verification methodology development, functional and code coverage closure.

• Work on the complex TB creation, direct/random tests and drive the function and coverage to closure.

• Contribute to the development of silicon and platform verification strategy and methodology

• Triage the fail on SOC level with SOCV/EMU/SW team

• Collaborate with IP development teams, and participate in, and support soft and hard IP identification, selection, and IP licensing

What we need to see:

• Clear understanding of complexities involved with various design verification tools, including Synopsys VCS or Cadence Xcelium Simulator, Verdi, JasperGold or VC Formal

• Track record of first-pass success in ASIC Development

• B.S. or M.S. degree in Computer Engineering or Electrical Engineering

• Experience working across multiple projects and adjusting priorities in partnership with stakeholders

• 5+ years of experience owning processing ASIC, IP or SoC design verification

• Experience managing and delivering complex mixed language UVM and C++ testbenches

• Ability to interpret functional specs and creating comprehensive test plans

• Ability to write directed and constraint random test to achieve coverage-driven verification closure

• Strong programming skills in C++/SystemC. Familiar with the GDB debugging.

• Experience developing tools and infrastructure using Perl or Python

Ways to stand out from the crowd:

• Hands-on experience with AMBA protocols such as AXI, ACE, CHI, etc.

• Hands-on experience with complex subsystems in new technologies like ARM CPU complex, LPDDR, HBM, GPU’s, UCIE, PCIE or Network on chip and with performance verification

What you will be doing:

• Working with architects, design leads, physical design leads and package leads, you will develop and to craft and optimize floorplans during early chip development.

• Drive the area review process and collaborate with the ASIC design team to identify area, interconnect and floorplan improvement opportunities.

• Solve timing and routing congestion issues with physical and ASIC design teams by influencing early design and physical implementation decisions.

• You will build tools and improve existing infrastructure to optimize chip area and speed of execution.

What we need to see:

• Masters Degree in Electrical Engineering, Computer Science, or Computer Engineering or equivalent experience.

• At least 3+ years of relevant work experience.

• A deep hardware engineering background with a concentration in VLSI and/or Computer Architecture.

• Experience in Verilog, System Verilog or similar HVL.

• Experience with CAD and physical design methodologies (flow and tool development), chip floorplan, power/clock distribution, packaging, P&R and timing closure.

• Strong communication and interpersonal skills and ability & desire to work as a great teammate should be displayed in your interview.

• Python, Perl and C/C++ programming language experience.

Ways to stand out from the crowd:

• Experience in driving development of large scale ASIC floorplan is a huge plus.

What you’ll be doing:

• Utilizing AI-powered tools to enhance QA efficiency, including automating test case generation, defect detection, and regression testing.

• Implementing AI-driven solutions to optimize test coverage and identify high-risk areas in software systems.

• Collaborating with cross-functional teams to adopt AI tools that improve workflow automation and reduce manual effort.

• Review product requirements and collaborate with cross-functional teams to define testrequirements/strategies

• Build test plan, design test case, execute and report test progress, bugs and results to management.

• PerformFunction, Performance,Fault Injection and reliability testing

• Automate test cases and assist in the architecture, crafting and implementing of test frameworks.

• Manage bug lifecycle and co-work with inter-groups to drive for solutions.

• In-house repro and verify customer issues/fixes.

• Leveraging AI-powered tools to automate repetitive testing tasks, optimize test coverage, and detect flaky tests

What we need to see:

• BS or higher degree or equivalent experience in CS/EE/CE with 5+ years QA experience.

• Experience using AI tools for QA tasks

• Familiarity with AI-powered testing frameworks and platforms that improve process efficiency

• Strong understanding of QA methodologies and the ability to integrate AI tools into existing workflows

• Proficient in Unix/Linux and shell/python programming skills with a strong understanding of Kubernetes architecture and its components

• Experience with containerization technologies

• Experience with CI/CD pipelines and tools

• Hands-on experience in testing observability solutions (Prometheus, Grafana, ELK Stack, Datadog, etc.) and validating metrics, logs, traces, and alerting workflows

• Proven experience in test cases development, tests automation and failure analysis, preferably with Kubernetes or cloud-based services, simulating large clusters and testing various failures (tools like KWOK and chaos monkey, etc.)

• Good QA sense, knowledge, and experience in software testing who is an excellent communicator, fluent written and verbal English.

Ways to stand out from the crowd:

• Proven success in leveraging AI tools to significantly reduce testing time or improve defect detection rates.

• Experience in implementing innovative AI-driven solutions that streamline QA workflows or enhance process automation.

• Background in SaaS and PaaS test is a strong plus

• Experience working with NVIDIA GPU hardware is a strong plus

As a Senior Robotics Software Engineer on the Isaac Applications Team, you will help build the platform for Physical AI robots — enabling sim-first development, real-world deployment, and continuous learning to make them smarter over time. The ideal candidate will have strong software engineering skills for (soft) realtime robotics applications and real-world experience with multi-body robots, such as humanoids quadrupeds.

What You Will Be Doing:

• Bring the latest advancements in Physical AI to simulated and real humanoid robots by building the humanoid reference platform showcasing the power of NVIDIA's technology.

• Collaborate across team boundaries to integrate NVIDIA robotics products such as Thor and Isaac Sim into one solution for humanoid robots.

• Spearhead efforts at NVIDIA's Shanghai offices, collaborating with team members in America and Europe.

What We Need To See:

• Master's degree in Computer Science, Engineering, or a related field, or equivalent experience.

• 5+ years of experience in robotics.

• Proven experience in designing and building real-time robotics software stacks, and deployment on real robots.

• Demonstrated success in bringing robotics solutions from lab to launch, with direct involvement in implementation and deployment.

• Proficiency in C++ and Python, knowledgeable in robotics middleware.

• Ability to adapt to fast paced development lifecycles, multi-functional organizations, new technologies and platforms.

• Strong problem-solving skills and the ability to determine the best approach to complex challenges.

• Excellent communication skills (including English) and a collaborative approach to working effectively with diverse teams.

Ways To Stand Out From The Crowd:

• Familiarity with NVIDIA robotics products such as Jetson and Isaac Sim.

• Background with Bazel.

• Experience as a team lead or manager.

What you’ll be doing:

• Work closely with global cross-functional teams to understand the test requirements and take ownership of product quality.

• Plan/design/execute/report/automatetest plan/test case/test reports.

• Manage bug lifecycle and co-work with inter-groups to drive for solutions.

• Automate test cases and assist in the architecture, crafting and implementing of test frameworks.

• In-house repro and verify customer issues/fixes.

• Utilize AI-powered tools to improve efficiency and quality, including test case/plan/script generation, defect detection, CBTP, bug fixing and day to dayassistance.

What we need to see:

• BS or higher degree in CS/EE/CE or equivalent experience.

• 5+ years of software quality assurance or test automation background with knowledge of test infrastructure and strong analysis skills.

• Scripting language (Python, Perl, Bash) knowledge and UNIX/Linux experience.

• Good C/C++ software development, DevOps or test development experience.

• Good user/development experiences of virtualization like VM & Docker container.

• Excellent English written and oral communication skills.

• Able to juggle conflicting/changing priorities and maintain a positive attitude while experiencing challenging and dynamic schedules.

• Experience with AI tools.

Ways to stand out from the crowd:

• Familiarity with NVIDIA GPU hardware products (Tesla, Tegra, DGX, etc).

• Working knowledge of NVIDIA GPU Computing (CUDA) and CUDA libraries for Deep Learning.

• Experience in VectorCAST, Bullseye, Gcov, or Coverity tools.

• Automation experience.

• Experience with LLM inference frameworks (TRT-LLM, vLLM, SGLang, etc.) and familiar with running various AI workloads, proven success in leveraging AI tools to significantly improve efficiency, streamline workflows or enhance process automation.