System Software Engineer – OpenBMC at NVIDIA

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Hardware, AI, ServersIndustries

Requirements

Bachelor of Science Degree (or higher) or equivalent experience in Computer Science, E&C, or Electrical Engineering
3+ years of relevant 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 U-Boot and Linux kernel
OOB or In-band System Management experience with exposure to standards IPMI, KCS, DMTF Standards (PLDM, MCTP, Redfish, PMBus, NVMe, etc.)
Understanding of 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, a high sense of collaboration, a love to produce quality work, and a commitment to finish tasks every single day
Self-starter who loves to find creative solutions to complicated problems

Responsibilities

Design and implement OpenBMC Core Infrastructure and Features for GPU Server platforms
Hands-on work with bringing up BMC firmware, performance analysis, and coding various manageability features for NVIDIA’s Server platforms
Design, Develop and contribute to reviews closely working with Opensource community. Influence community to enable NVIDIA features and platform requirements
Crafting 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 maintaining 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, and with hardware teams to influence hardware design and review HW architecture & schematics

Skills

OpenBMC

System Management

Platform Drivers

BMC Firmware

Redfish

MCTP

SPDM

PLDM

DMTF Standards

GPU Servers

Linux

C++

Firmware Development

Performance Analysis

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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