דרושים United States, Washington, Development Assistant ב-United States

What we need to see:

• MS or PhD degree in Electrical Engineering, Computer Science or equivalent experience.

• Minimum of 8 years relevant experience

• We require proven theoretical knowledge of communication systems, communication theory, linear algebra, detection and estimation theory, baseband signal processing algorithms, and channel coding

• We seek deep expertise in LTE/5G NR L1 (PHY) and L2 (MAC-scheduler) algorithms design and optimizations

• Experience with wireless algorithm performance characterization and analysis

• Wireless base station design, development, and commercialization experience

• Experience building system models with Matlab, C/C++ and/or Python for algorithm design and link-level simulation

• Solid knowledge of 3GPP 5G NR standard

• Strategic context of Telecom Industry and Wireless technology evolution

Ways to stand out from the crowds:

• Research experience in AI/ML and its applications to wireless applications

• Demonstrated experience in software development for commercial RAN products

• Knowledge of SIMD computing architecture

• Background of GPU or CUDA programming

• Knowledge of Wireless Protocols and E2E Deployment Architecture

What you’ll be doing:

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

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

• Run bug lifecycle and co-work with inter-groups to work towards solutions.

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

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

What we need to see:

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

• 4+ 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 or test development experience.

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

• Understanding and working knowledge with any Deep Learning Framework and models especially in end-to-end customer scenarios.

• Experience in validating Deep Learning software and Deep Learning models.

• Experience in using AI development tools for test plans creation, test cases development and test cases automation.

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

• Excellent English written and oral communication skills.

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 building models and AI-based infrastructure to improve test automation.

• Experience with LLM inference frameworks (TRT-LLM, vLLM, SGLang, etc.)and familiar with running various AI workloads

• Background in validating Data Center GPU based infrastructure (multi-GPUS, multi-nodes, cluster).

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

What you'll be doing:

• Drive development and productization of NVIDIA’s DGX datacenter products and L11 systems.

• Lead debug efforts for L11 rack-level integration, creating and applying tools/scripts for failure identification and root cause analysis.

• Provide clear, actionable guidance to factories to resolve issues quickly and implement corrective actions that improve manufacturing quality and efficiency.

• Develop and document robust, stable recipes—including diagnostics, firmware, and software—for mass production ramp.

• Review and provide feedback on test plans and factory acceptance criteria, focusing on yield, quality, and efficiency.

• Collaborate with development, validation, and manufacturing test engineering teams to understand diagnostic and firmware release plans and their impact on system stability and quality.

• Influence test engineering and diagnostic teams to enhance test methodology, telemetry, and debug capabilities for precise FRU identification and isolation of firmware/test issues and to improve test coverage with the goal of preventing downstream escapes.

• Partner with product development teams to ensure designs are optimized for manufacturing.

• Present NPI status updates and critical issues to executive management.

What we need to see:

• Expertise in server platform architecture, CPU/GPU baseboards, and high-speed interfaces with proven system-level debug skills and exceptional diagnostic instincts.

• Strong knowledge of BMC, firmware architecture, and manufacturing diagnostics.

• Familiarity with L11 integration processes.

• Excellent communication skills to articulate problems and deliver clear recommendations.

• Strong analytical skills to synthesize complex information and provide actionable guidance.

• Leadership skills to manage factory operations and drive issue resolution.

• Collaborative mindset to work seamlessly with cross-functional teams and external partners.

• Results-driven approach to achieving optimal outcomes across all aspects of NPI operations.

• 12+ years in system engineering, debug, or equivalent relevant experience

• BS or higher in Electrical Engineering, Computer Engineering or equivalent experience

What you'll be doing:

• Work with development teams on test plans for all layers of SW stack for cloud infrastructure, execution, reviews, failure analysis and assessing overall quality and risk. Work with customer PMs on software issues including technical feedback from OEMs and CSPs. Develop key KPIs to track execution and deploy process improvements to improve efficiency

• Lead NVIDIA Cloud and Data Center bring up activities which will involve validation, reporting, working with engineering to debug issues, providing design input at times, adding coverage in different areas.

• Design, develop and maintain CI/CD pipelines for continuous testing in cloud environments when needed.

• Perform performance, scalability, and reliability testing of cloud services.

• Implement and maintain test environments in cloud platforms such as AWS, Azure, or Google Cloud.

• Supervise the infrastructure to alert on significant events, ensuring the highest level of system performance and reliability.

• Work with various different partner teams to ensure availability of clusters to test on and take the lead in resolve all issues.

• Working with teams to ensure quality of the cloud products getting delivered focusing on critical areas like security, storage, workloads, performance on latest SW and FW components.

What we need to see:

• A Master's or Ph.D. in Computer Science or a related field, or equivalent experience.

• Proven experience with AI tools for automation and test plan development directly applied to daily tasks. This expertise is crucial for enhancing performance, developing robust frameworks, and increasing test coverage.

• 4+ years of hands-on experience in cluster management and related tools, including Docker Containers, Slurm, Kubernetes, and Ansible.

• 2+ years strong experience with cloud infrastructure platforms like AWS, Azure, Google, OCI Cloud.

• Proficient in Unix/Linux and shell/python programming skills.

• Hands-on experience with network, storage, security, cluster configuration and debugging, cloud infrastructure management tools like terraform, ansible.

• Expertise in administering, operating, and configuring Kubernetes.

• Experience in CI/CD tools such as Gitlab and Jenkins and the GitOps model.

• Proficiency in various monitoring tools :Prometheus, Grafana, Cloudwatch, and Thanos.

• Proficiency in debugging issues involving networks, DHCP, DNS, HTTP, Linux, and containers.

Ways to Stand Out from the Crowd:

• Familiarity with "Bright Cluster Manager" for managing and monitoring high performance computing.

• Experience in writing automation for web application using tools like selenium, playwright.