NVIDIA

Full-stack Engineer

• Design and implement Microcontroller Firmware for GPU Server platforms, focusing on but not limited to ARM M-class microcontrollers.
• Develop C/C++ server manageability features in an RTOS embedded-optimized environment.
• Perform hands-on work with microcontroller firmware bring-up, debugging, performance analysis, and coding manageability features for NVIDIA’s Server platforms.
• Develop embedded management software to enable reporting and connectivity between server management devices.
• Implement register-based communication and DMTF standard messaging protocols for seamless interaction between BMC, GPUs, switches, memory, I/O expanders, sensors, and local microcontroller peripherals.
• Design a highly portable microcontroller framework that will be implemented across a wide variety of server management subsystems.
• Develop and review code, write and review design documents, and collaborate with team members to meet product requirements.
• Instrument code for maximum coverage, automate unit tests, maintain detailed test case reports, and provide software quality reports based on static analysis, code coverage, and microcontroller load.
• Collaborate with security and hardware teams to ensure code aligns with security goals and influence hardware design and architecture review.
• Develop performance-optimized active monitoring BMC solutions using DMTF Standards such as MCTP, Redfish, SPDM, and PLDM specifications.

Senior System Software Engineer – Platform, Server, Embedded Firmware

• Develop and implement CUDA Core Libraries in C++ and/or Python, including parallel algorithms and idiomatic language bindings for core CUDA functionality.
• Compose, optimize, and evolve GPU algorithms and APIs, from high-level interfaces down to low-level performance tuning involving memory, parallelism, and synchronization.
• Own features end-to-end: develop, implementation, testing, benchmarking, documentation, and long-term maintenance.
• Improve developer experience across the stack: CI, tests, benchmarks, packaging, examples, and docs.
• Collaborate with senior CUDA engineers in design reviews, code reviews, and open-source-style workflows.
• Engage with real users through issues, performance investigations, and API feedback.

Senior Software Engineer, CUDA Core Libraries

Hardware Engineer

• Designing, implementing, and delivering innovations for managing GPU based AI servers with focus on OOB management, firmware development, server architecture and building systems for enterprise.
• Working with a global team of BIOS developers on NVIDIA server designs.
• Designing and developing performance optimized UEFI/BIOS solutions using industry Standards.
• Instrumenting code to ensure maximum code coverage, writing and automating unit tests for each implemented module and maintain detailed unit test case reports.
• Providing software quality reports based on static analysis, code coverage, CPU load.
• Working with security team to ensure developed code is in line with product security goals.
• Partner closely with hardware teams to influence hardware design and review HW architecture & schematics.
• Working with QA/Test architects to come up with proper test tools and automation for qualifying the whole system software and firmware stack.

Senior SBIOS Firmware Engineer – UEFI

Engineer

• Solve difficult problems at the intersection of compilers, programming models, and high-performance computing architectures
• Implement new and future OpenACC, OpenMP, and standard language parallelism features for C++, Fortran, and Python for NVIDIA GPUs and Multicore CPUs
• Participate in the evolution of standard language parallelism for GPUs and Multicore CPUs
• Balance individual effort with teamwork throughout debugging, prototyping, and productization
• Discuss and refine software designs and implementation strategies with peers
• Partner with application teams to investigate interesting and meaningful compilation problems from the HPC community

Compiler Engineer

Manager

• Leading execution of safety engineering processes to meet ISO 26262, ISO 21448 and ISO 8800 standards, with timely safety case completion
• Promoting a positive safety culture and deployment of organizational processes by providing training, mentoring and tailoring
• Acting as the primary point of contact for all safety related concerns during development and actively working to resolve identified issues
• Collaborating with OEM and Tier1 partners to ensure that all aspects of the joint safety engineering development are carried out on time and according to plan

Senior Functional Safety Manager – Autonomous Vehicles

Client Partner

• Drive client evolution into extraordinary partners for providing AI enabled Services.
• Work with the client leadership to ensure that a clear strategy is defined to help them provide AI enabled Services.
• Devise enablement plans and help the Developer base at GSIs to improve their abilities on GPU accelerated computing.
• Act as a liaison GSIs and NVIDIA Solution Architects to run PoCs, help with porting platforms and respond to RFQs.
• Define Business goals, track and report progress and work on joint GTM plans.
• Act as the extension of the Sales teams of NVIDIA to identify Top accounts for joint engagement.
• Work with GSi to drive customer engagement from prospect, proposal, POC, pilot, and Product/win.

Client Manager

• Design and build unified security services for NVIDIA Security Platform, integrating detection, orchestration, and automated response capabilities
• Partner with product engineering, security architecture, and cloud infrastructure teams to embed secure design patterns and automation across private, public, and emerging AI-native clouds
• Build secure cloud architecture and implement full-stack solutions—from backend APIs (Java/Spring Boot, Python) to observability portals, and security action workflows—delivering reliability, scalability, and operational excellence
• Foster process-as-code leadership to transform manual workflows into consumable, automated self-service subscriptions to reduce software vulnerability exposures
• Design and operate data ingestion pipelines to bring in vulnerability, threat, asset, and ticket data from multiple internal and external sources at scale
• Implement data enrichment workflows (e.g., threat intelligence tagging, asset and business context, ownership, SLA and CVSS mappings) to improve prioritization and decision-making
• Optimize data processing and analytics jobs on platforms such as Databricks (Spark, Delta Lake) for batch and near real-time security compliance use cases
• Build vulnerability assessment platforms to automate discovery, prioritization, and remediation workflows, employing AI models with dynamic risk analysis

Senior Software Engineer – Full Stack

Supply Chain

• Own end‑to‑end inventory accuracy for consigned materials, SFG, FG, and bone‑pile inventory across assigned CMs, ensuring compliance with NVIDIA policies, audits, and SOX requirements.
• Lead regular book‑to‑book (B2B) reconciliation between NVIDIA SAP and CM ERP systems, driving root‑cause analysis and corrective/preventive actions for inventory variances.
• Act as the primary owner of EDI/B2B interfaces, monitoring GR/GI, consumption, and adjustment transactions, and resolving data mismatches related to timing, execution, or master data issues.
• Partner with IT, CEM, and internal stakeholders to stabilize, standardize, and continuously improve B2B data flows and system integration.
• Own bone‑pile governance, including tracking, aging, reconciliation, disposition, and system cleanup, while reducing ADSI and financial write‑off risk through proactive execution.
• Serve as SAP key user for inventory processes, supporting goods receipt, issue, transfers, adjustments, UAT, system enhancements, and training for internal users and CM partners.
• Drive digitalization and AI‑enabled analytics (dashboards, RPA, exception detection, reconciliation automation) to improve inventory accuracy, B2B health, and operational efficiency.
• Proactively identify inventory and execution risks impacting production, OTD, and financial exposure, and lead continuous improvement initiatives supported by clear KPIs and metrics.

Factory Planner, Inventory Control

• Be part of NVIDIA re-targetable GPU compiler backend team
• Work with a distributed team to develop innovative solutions that optimize workloads in Deep Learning, Ray Tracing, and HPC
• Collaborate with industry experts in each field
• Work on challenging problems in register allocation, instruction scheduling, synchronization, loop optimizations etc
• Get a chance to influence and work on new GPU architectures

Compiler Optimization Engineer – LLVM

Artificial Intelligence

• Help our customers with the installation and onboarding of the Run:ai software
• Help increase the value of the Run.AI software by supporting data scientists and ML engineers
• Configure Run:ai to match customer’s use case
• Integrate Run:ai into customer's existing ML ops environment
• Diagnose and solve customer issues in cloud-native environments
• Collaborate with internal stakeholders

Professional Services Engineer, AI/ML

Public Relations

• Play a pivotal role in promoting NVIDIA’s leadership in AI infrastructure and open-source software.
• Work with top-tier media outlets across the region.
• Formulate imaginative strategies and tactics to underline NVIDIA’s influence in Enterprise AI and accelerated computing.
• Develop engaging story angles on NVIDIA’s role in the AI developer and startup ecosystem.
• Lead and guide PR agencies while collaborating closely with both EMEA and HQ teams.
• Own the creation of press releases, messaging documents, customer stories, and thought leadership articles.
• Nurture and maintain positive relationships with key reporters.

Senior Enterprise PR Manager, EMEA

• Define technical strategy and development of NVIDIA’s Data Center diagnostic systems, orchestrating large-scale stress testing for CPUs, GPUs, networking, memory, and high-speed interconnects.
• Mentor and grow engineering teams, providing technical leadership and encouraging a culture of innovation and excellence.
• Drive the root-cause analysis of systemic failures that intersect multiple hardware and software domains.
• Partner with CSPs to diagnose and address scalability challenges within their unique data center infrastructures.

Principal System Software Engineer – Data Center MODS

• Lead the technical strategy for AI Factory networking deployments
• Serve as the principal-level technical authority for embedded networking products
• Lead deep technical engagements with hyperscalers and AI Factory customers
• Partner with internal engineering, product, and architecture teams

Principal Software Engineer, AI Networking

• Investigate, debug, and resolve challenging PCIe firmware issues for important customers.
• Partner with Chip Design, Software, and Architecture engineers to find root causes and develop solutions.
• Translate customer needs and field data into actionable feedback for product development.
• Help improve team processes and contribute to the knowledge base.

Senior Firmware Engineer, PCIe

Architect

• Hardware architecture end-to-end lifecycle ownership
• Drive Architecture/Software/Hardware co-design and collaboration on features set
• Perform performance, perf @ watt, perf / sq. mm modeling or analysis and track through design (where applicable)
• Architecture and requirements specification authoring, review, and System C model development (where applicable)
• Architectural validation plan and execution
• Review downstream specifications and verification plans in ASIC, software and/or platform to ensure requirements are followed
• Post-Silicon production support with silicon debug and publishing of customer documentation
• Industry standards tracking & 3rd party IP technical evaluation
• Patenting novel parts of system architecture