Business Development Representative jobs

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:

• Lead business operations and analytics across NVIDIA’s ODM ecosystem, enabling manufacturing scalability and operational rigor.

• Develop and maintain data-driven operational models and dashboards to track capacity, yield, and shipment performance across partners.

• Partner with Finance, Operations, WWFO, and Product teams to connect operational metrics with financial outcomes.

• Implement governance frameworks, standardized important metrics, and regular reviews to develop accountability and transparency across global sites.

• Collaborate with ODMs and internal teams to boost data accuracy, efficiency visibility, and process automation.

What we need to see:

• Bachelor’s or Master’s degree in Data Science, Business, or Finance or equivalent experience (MBA preferred).

• 8+ years of experience in hardware operations, manufacturing analytics, or financial planning — ideally within data center, semiconductor, or hyperscaler environments.

• Proven strength in data analysis, modeling, and visualization using tools including Tableau and Microsoft Office.

• Proficient knowledge of ODM/OEM business structures, production processes, and logistics operations.

• Outstanding communication and execution skills— you can transform data into clear insights and collaborate effectively across global teams for implementation.

• A track record of excelling in fast-paced, cross-functional environments where accuracy, speed, and teamwork matter.

Ways to Stand Out from the Crowd:

• Demonstrated ability to build predictive modeling frameworks that link operational data with business outcomes.

• Proven success driving process automation or analytics transformation within a complex manufacturing or supply-chain network.

• Sound comprehension of supply chain management, optimizing manufacturing processes, and performing scenario analysis for substantial operations.

• Experience collaborating across engineering, finance, and operations to solve high-impact business challenges.

• Passion for translating data into strategy — turning operational insights into measurable results that advance NVIDIA’s AI Factory mission.

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:

• Guide partners along their Exemplar Path, a collective journey towards demonstrating outstanding cloud acceleration performance, scalability, and innovation leadership.

• Collaborate with NVIDIA’s Cloud, Partner, and Enterprise Solutions teams to co-develop strategies that align cloud architecture with customer and national objectives.

• Develop business and technical roadmaps that connect infrastructure investment with measurable business impact and long-term ecosystem growth.

• Collaborate with sovereign and hyperscale cloud providers to establish AI acceleration strategies using NVIDIA’s technology stack (DGX Cloud, NVIDIA AI Enterprise, Grace Hopper, NVLink, CUDA).

• Lead executive-level workshops and strategy sessions with partner leadership teams to align vision, performance goals, and value creation.

• Support joint go-to-market initiatives that highlight exemplar implementations of NVIDIA accelerated computing within global and sovereign clouds.

• Act as a trusted advisor and ecosystem strategist, connecting technology performance to economic, environmental, and strategic outcomes.

• Contribute to NVIDIA’s Sovereign AI and Cloud Acceleration playbooks, defining frameworks for innovation that respect data sovereignty while scaling AI adoption.

What We Need to See:

• Bachelor’s or Master’s in Business, Engineering, Computer Science, Data Science, or equivalent experience.

• 12+ years of experience in cloud strategy, AI infrastructure consulting, or partner ecosystem development.

• Solid understanding of GPU-accelerated computing, AI infrastructure, and cloud architecture.

• Demonstrable ability to translate technical solutions into strategic business narratives and measurable value frameworks.

• Experience interacting with executive team members and ecosystem partners across both public and private sectors.

• Effective communication and storytelling skills across technical and strategic audiences.

Ways to Stand Out from the Crowd:

• Deep experience in hyperscaler or sovereign cloud partnerships and ecosystem development.

• Familiarity with NVIDIA DGX Cloud, AI Enterprise, and Grace Hopper-based architectures.

• Proven track record in strategic enablement programs or building exemplar partner models that demonstrate innovation excellence.

• Understanding of Sovereign AI trends, AI infrastructure economics, or sustainable acceleration strategies.

What you'll be doing:

• Manage interface between NVIDIA and Distributor.

• Directly lead Distributors. Handle channel disputes as needed.

• Ensure Distributors meet and exceed goals.

• Understanding distributor business strategies. Communicating distributor business strategies to pertinent departments in NVIDIA.

• Understanding and communicating NVIDIA value propositions (corporate, positioning, products, technologies, capabilities) to distributors and VARs.

• Managing Distributor product focus.

• Running quarterly and ad-hoc promotional activities at distributor.

• Training distributor salespeople.

What we need to see:

• Minimum (8) years related experience in channel account sales management.

• BA (or equivalent experience), MBA is a plus

• Experience managing distribution channel accounts is a plus.

• Proven ability to develop and maintain relationships with channel partner accounts.

• Track record of strong sales in compute and storage products.

• Strong team-selling skills.

• Excellent oral and written communications skills including effective presentation and negotiation skills.

Ways to stand out from the crowd:

• Understanding of data science workflows and generative AI's effect on the Professional Visualization sector channel.

• A strong curiosity about understanding new technologies and adept at conveying their value to a distributor sales, technical and executive teams.

• Strong executive presence, polish, and political savvy

• Track record of successfully growing revenue for new innovative technology based solutions.

• Specific experience and relationships within key Professional Visualization sector distributors and the ability growth their revenue.