Senior System Software Engineer Platform - OpenBMC at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Bachelor of Science Degree (or higher) in Electrical Engineering or Computer Science or equivalent experience
8+ years of experience
Domain expertise in BMC Firmware development on X86 or ARM Platforms including BMC-BIOS communication, thermal management, power management, firmware update, device monitoring, firmware security, etc
Board Bring-up expertise with hands-on experience in Device drivers like I2C/I3C, SPI, PCIe, SMBus, Mail-box etc. as well as the device trees for uboot and Linux kernel
OOB or In-band System Management experience with exposure to standards IPMI, KCS, DMTF Standards (PLDM, MCTP, Redfish, etc), PMBus, NVMe, etc
Understanding on REST architecture style especially JSON over HTTPs with OAuth
Strong programming and scripting skills using C/C++, Bash, Python, Go etc. both for Linux user-space programs and system programs with thorough code reviewing skills
Strong in Linux fundamentals, various Linux distributions and packages, Linux upgrade mechanisms, building and deploying Linux images
Excellent written and oral communication skills, good work ethics, high sense of team-work, love to produce quality work and commitment to finish your tasks every single day
Self-starter who loves to find creative solutions to challenging problems
Ways to stand out (Preferred)
Contributor to industry standards like Open Compute, OpenBMC, IPMI, DMTF Standards, and open source
Expertise in system software and platform security for x86/ARM based Rack/Blade server systems

Responsibilities

Design and implement OpenBMC Firmware for GPU Server platforms focus on but not limited to Arm architecture
Hands on work with bringing up of BMC firmware, performance analysis and coding various manageability features for NVIDIA’s Server platforms
Developing and reviewing code, writing and reviewing design documents, reviewing QA test plan and working closely with all team members to achieve consensus for design and testability as per product requirements
Designing solutions for errors, stats & configuration appropriate to CPU, GPU, DIMM, SSDs, NICs, IB, PSU, BMC, FPGA, CPLD etc. for enterprise readiness of NVIDIA Server platforms
Designing and developing performance optimized active monitoring BMC solutions using DMTF Standards including MCTP, Redfish, SPDM and PLDM specifications
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
Working closely with hardware teams to influence hardware design and review HW architecture & schematics

Skills

Key technologies and capabilities for this role

OpenBMCARMBMCRedfishMCTPSPDMPLDMDMTFFirmwareGPUUnit TestingStatic AnalysisCode CoveragePerformance Analysis

Questions & Answers

Common questions about this position

What is the salary for this Senior System Software Engineer position?

This information is not specified in the job description.

Is this role remote or does it require working from an office?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need a Bachelor of Science Degree in Electrical Engineering or Computer Science, 8+ years of experience with BMC Firmware development on X86 or ARM platforms, board bring-up expertise with device drivers like I2C/I3C, SPI, PCIe, and strong programming skills in C/C++, Bash, Python, Go.

What is the company culture like at NVIDIA for this team?

This information is not specified in the job description.

What makes a strong candidate for this Senior System Software Engineer role?

Strong candidates will have 8+ years of BMC Firmware development experience on X86 or ARM platforms, hands-on board bring-up expertise with device drivers, and proficiency in C/C++, Python, and Linux fundamentals, along with familiarity with DMTF standards like Redfish and PLDM.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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