דרושים Principal Systems Engineer Replay Infrastructure - Autonomous Vehicles ב-אנבידיה ב-United States, California

What you'll be doing:

• As a senior member in our team, you will work with pre-silicon and post-silicon data analytics - visualization, insights and modeling.

• Design and uphold sturdy data pipelines and ETL processes for the ingestion and processing of DFX Engineering data from various origins

• Lead engineering efforts by collaborating with cross-functional teams (execution, analytics, data science, product) to define data requirements and ensure data quality and consistency

• You will work on hard-to-solve problems in the Design For Test space which will involve application of algorithm design, using statistical tools to analyze and interpret complex datasets and explorations using Applied AI methods.

• In addition, you will help develop and deploy DFT methodologies for our next generation products using Gen AI solutions.

• You will also help mentor junior engineers on test designs and trade-offs including cost and quality.

What we need to see:

• BSEE (or equivalent experience) with 5+, MSEE with 3+, or PhD with 1+ years of experience in low-power DFT, Data Visualization, Applied Machine Learning or Database Management.

• Experience with SQL, ETL, and data modeling is crucial

• Hands-on experience with cloud platforms (AWS, Azure, GCP)

• Design and implement highly scalable, fault tolerant distributed database solutions

• Lead data modeling, performance tuning, and capacity planning for large-scale, mission-critical storage workloads

• Excellent knowledge in using statistical tools for data analysis & insights.

• Strong programming and scripting skills in Perl, Python, C++ or Tcl is expected

• Outstanding written and oral communication skills with the curiosity to work on rare challenges.

Ways to stand out from the crowd:

• Experience in data pipeline and database architecture for real-world systems

• Experience in application of AI for EDA-related problem-solving

• Good understanding of technology and passionate about what you do

• Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment

What you'll be doing:

• Develop and implement the business logic in the new End-to-End Data systems for our Planning, Logistics, Services, and Sourcing initiatives.

• Lead discussions with Operations stakeholders and IT to identify and implement the right data strategy given data sources, data locations, and use cases.

• Analyze and organize raw operational data including structured and unstructured data. Implement data validation checks to track and improve data completeness and data integrity.

• Build data systems and data pipelines to transport data from a data source to the data lake ensuring that data sources, ingestion components, transformation functions, and destination are well understood for implementation.

• Prepare data for AI/ML/LLM models by making sure that the data is complete, has been cleansed, and has the necessary rules in place.

• Build/develop algorithms, prototypes, and analytical tools that enable the Ops teams to make critical business decisions.

• Build data and analytic solutions for key initiatives to set up manufacturing plants in US.

• Support key strategic initiatives like building scalable cross-functional datalake solutions.

What we need to see:

• Master’s or Bachelor’s degree in Computer Science or Information System, or equivalent experience

• 8+ years of relevant experience including programming knowledge (i.e SQL, Python, Java, etc)

• Highly independent, able to lead key technical decisions, influence project roadmap and work effectively with team members

• Experience architecting, designing, developing, and maintaining data warehouses/data lakes for complex data ecosystems

• Expert in data and database management including data pipeline responsibilities in replication and mass ingestion, streaming, API and application and data integration

• Experience in developing required infrastructure for optimal extraction, transformation, and loading of data from various sources using Databricks, AWS, Azure, SQL or other technologies

• Strong analytical skills with the ability to collect, organize, and disseminate significant amounts of information with attention to detail and accuracy

• Knowledge of supply chain business processes for planning, procurement, shipping, and returns of chips, boards, systems, and networking.

Ways to stand out from the crowd:

• Self-starter, collaborative, positive mindset, committed to growth with integrity and accountability, highly motivated, driven, and high-reaching

• Solid ability to drive continuous improvement of systems and processes

• A consistent record to work in a fast-paced environment where good interpersonal skills are crucial

What you’ll be doing:

• Contribute features to vLLM that empower the newest models with the latest NVIDIA GPU hardware features; profile and optimize the inference framework (vLLM) with methods like speculative decoding,data/tensor/expert/pipeline-parallelism,prefill-decode disaggregation.

• Develop, optimize, and benchmark GPU kernels (hand-tuned and compiler-generated) using techniques such as fusion, autotuning, and memory/layout optimization; build and extend high-level DSLs and compiler infrastructure to boost kernel developer productivity while approaching peak hardware utilization.

• Define and build inference benchmarking methodologies and tools; contribute both new benchmark and NVIDIA’s submissions to the industry-leading MLPerf Inference benchmarking suite.

• Architect the scheduling and orchestration of containerized large-scale inference deployments on GPU clusters across clouds.

• Conduct and publish original research that pushes the pareto frontier for the field of ML Systems; survey recent publications and find a way to integrate research ideas and prototypes into NVIDIA’s software products.

What we need to see:

• Bachelor’s degree (or equivalent expeience) in Computer Science (CS), Computer Engineering (CE) or Software Engineering (SE) with 7+ years of experience; alternatively, Master’s degree in CS/CE/SE with 5+ years of experience; or PhD degree with the thesis and top-tier publications in ML Systems, GPU architecture, or high-performance computing.

• Strong programming skills in Python and C/C++; experience with Go or Rust is a plus; solid CS fundamentals: algorithms & data structures, operating systems, computer architecture, parallel programming, distributed systems, deep learning theories.

• Knowledgeable and passionate about performance engineering in ML frameworks (e.g., PyTorch) and inference engines (e.g., vLLM and SGLang).

• Familiarity with GPU programming and performance: CUDA, memory hierarchy, streams, NCCL; proficiency with profiling/debug tools (e.g., Nsight Systems/Compute).

• Experience with containers and orchestration (Docker, Kubernetes, Slurm); familiarity with Linux namespaces and cgroups.

• Excellent debugging, problem-solving, and communication skills; ability to excel in a fast-paced, multi-functional setting.

Ways to stand out from the crowd

• Experience building and optimizing LLM inference engines (e.g., vLLM, SGLang).

• Hands-on work with ML compilers and DSLs (e.g., Triton,TorchDynamo/Inductor,MLIR/LLVM, XLA), GPU libraries (e.g., CUTLASS) and features (e.g., CUDA Graph, Tensor Cores).

• Experience contributing tocontainerization/virtualizationtechnologies such ascontainerd/CRI-O/CRIU.

• Experience with cloud platforms (AWS/GCP/Azure), infrastructure as code, CI/CD, and production observability.

• Contributions to open-source projects and/or publications; please include links to GitHub pull requests, published papers and artifacts.

ATE/SLT hardware team provides the interface hardware of IC package testing at final test and system level test. Hardware includes highly custom high-speed sockets, active thermal plungers, and load boards. Take an active role in hardware design for both product bring-up and HVM, design and manufacture improvement, and verification/debug, to production support.

What you’ll be doing:

• Review and approve the design of test socket, thermal plunger, and other accessories related to ATE/SLT IC testing for product bring-up and production.

• Provide ATE and SLT test fixture/HW solutions from design, manufacturing order, schedule monitoring, verification, and improvement.

• Drive ATE and SLT socket/thermal technology, solutions, and qualifications.

• Drive DOE with a sense of responsibility from collecting and analyzing engineering data and making decisions and recommendations for improvement.

• Provide cross-functional support.

• Drive a project and host a meeting internal and external stakeholders.

• Apply strong hardware troubleshooting and root-cause analysis. Possess the ability to provide preventive actions.

• Able to debug ATE/SLT hardware setup such as socket, thermal plunger, PCB, chiller, and handler.

• Require on-duty lab support. Weekend support may be necessary.

What we need to see:

• Bachelor’s degree or equivalent experience is required. EE and ME related degrees are preferred.

• 5 plus years of IC testing engineering and ATE/SLT hardware engineering experience.

• Having test socket knowledge is a strong plus. Familiar with test socket mechanics, footprints, and contact pins.

• Fully capable of understanding mechanical drawings and knowing mechanical and electrical circuit knowledge.

• Have IC testing knowledge of ATE/SLT interface hardware, maintenance, troubleshooting, and repairs. (Socket, load board, thermal plungers)

• Having ATE tester knowledge is a plus.

• Proven troubleshooting skills and ability to provide solutions and prevent reoccurrence.

• Willing to conduct hands-on-work such as socket pin repair, electric wire, and tiny capacitor/resistor.

• Able to lift 30 pounds load board during unboxing, boxing, and a short transportation.

• Have the knowledge of prevention and control of electrostatic discharge (ESD)

What you’ll be doing:

• Building and integrating tools to configure, simulate, and test robots

• Maintain and optimize the existing simulation stack for scalable robot and sensor simulation

• Integrate APIs to support large scale simulator deployments on distributed systems

• Develop microservices, using ZMQ, DDS, RPC, RESTful and other network level communication APIs

What we need to see:

• Pursuing or recently completed BS, MS, PhD (or equivalent experience) in Computer Science, Simulation, or related field

• Experience in systems software engineering

• Excellent C, C++, and Python programming skills

• Flexibility to adapt quickly to varying roles & responsibilities

• Experience with physics simulation, robotics or motion planning & controls

• Excellent interpersonal skills and ability to work optimally with multi-functional teams, principles, and architects across organizational boundaries and geographies

Ways to stand out from the crowd:

• Experience with Isaac Sim, Omniverse, USD, MJCF, URDF, CAD formats

• Background with physical robots, reinforcement learning, synthetic data generation

• Experience with UI/UX for user and developer facing tools

• Background with shipping and supporting software products

• Experience with system level optimization using multi-threading, asynchronous programming, concurrency and parallelism

What you'll be doing:

• Develop and implement the new End-to-End Data systems for our Planning, Logistics and Services, and Sourcing initiatives

• Lead discussions with stakeholders and IT to identify and implement the right data strategy given data sources, data locations, and use cases

• Build data pipelines to transport data from a data source to the data lake

• Analyze and organize raw operational data including structured and unstructured data

• Build data systems and pipelines ensuring that data sources, ingestion components, transformation functions, and destination are well understood for implementation

• Interpret trends and patterns by performing complex data analysis

• Prepare data for prescriptive and predictive modeling by making sure that the data is complete, has been cleansed, and has the necessary rules in place

• Build/develop algorithms, prototypes, and analytical tools that enable the Ops teams to make critical business decisions.

• Build data and analytic solutions forkeyinitiativestoset upmanufacturingplantsinUS.

• Support key strategic initiatives like building scalablecross-functionaldatalakesolutions.

What we need to see:

• Master’s or Bachelor’s degree in Computer Science or Information System, or equivalent experience

• 8+ years of relevant experience including programming knowledge (i.e SQL, Python, Java, etc)

• Highly independent, able to lead key technical decisions, influence project roadmap and work effectively with team members

• Experience architecting, designing, developing, and maintaining data warehouses/data lakes for complex data ecosystems

• Expert in data and database management including data pipeline responsibilities in replication and mass ingestion, streaming, API and application and data integration

• Experience in developing required infrastructure for optimal extraction, transformation, and loading of data from various sources using Databricks, AWS, Azure, SQL or other technologies

• Strong analytical skills with the ability to collect, organize, and disseminate significant amounts of information with attention to detail and accuracy

• Knowledge in operational processes in chips, boards, systems, and servers with a view of data landscape

• Knowledge of supply chain business processes for planning,procurement,shipping,andreturns

Ways to stand out from the crowd:

• Self-starter, positive mindset with integrity and accountability, highly motivated, driven, high-reaching, and attracted to a meaningful opportunity.

• Solid ability to drive continuous improvement of systems and processes.

• A consistent record to work in a fast-paced environment where good interpersonal skills are essential