NVIDIASenior System Software Safety Engineer - Halos Core and Robotics Platform
NVIDIA is hiring a Senior System Software Safety Engineer - Halos Core and Robotics Platform in Bengaluru, India. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions Qnx, Linux and Rtos among its tools and skills.
- Level classes it as a senior role.
- NVIDIA has 2,700+ other open roles on Level.
AI in this role
Drive functional safety lifecycle and system software development for NVIDIA's physical AI and robotics platform.
We are looking for a talented Senior System Software Engineer to help build NVIDIA Halos, our full-stack safety critical platform for physical AI: autonomous vehicles, humanoids, industrial robots, and intelligent machines that sense, decide, and act in the real world. This role is equally grounded in ISO 26262 functional safety engineering and embedded systems, rich operating systems, virtualization, accelerated computing. If you have a good understanding of System Software development on Real Time OS (RTOS), ARM architecture, Virtualization, and experience with ISO 26262 safety lifecycle, we want to hear from you! We are a leading artificial intelligence computing company and are paving the way with innovations in gaming, visualization, supercomputing, and autonomous vehicle and robotics safety platforms.
NVIDIA gives automakers, tier-1 suppliers, automotive research institutions, and startups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for autonomous vehicles. Our unified computing architecture makes it possible to train deep neural networks in the data center on the NVIDIA DGX™, and then seamlessly run them on NVIDIA's Halos platform inside the vehicle. Leading vehicle manufacturers, tier 1 suppliers, mapping and simulation companies, software and sensor providers, and startups around the world are developing on the NVIDIA Halos® platform to deliver the best solutions for the new world of mobility. As a System Software Engineer, you will get an opportunity to work on high-performance NVIDIA edge AI platforms running complex mixed-criticality software stacks across QNX, Linux, hypervisors, safety partitions, accelerators, and real-time AI workloads, and work alongside industry experts in diverse teams and projects.
What you’ll be doing:
Own and drive the ISO 26262 functional safety lifecycle for NVIDIA Halos platform components from safety plan to safety analysis for mixed-criticality software stacks.
Architect, design and develop system software for NVIDIA Halos OS across QNX, Linux, and hypervisor-based environments.
Use GenAI and AI-assisted engineering tools to accelerate debugging, test development, code review, documentation, requirements analysis, and workflow automation.
Handle complex issues requiring interactions between components partitioned across the large software stack
Mentor junior engineers
What we need to see:
Bachelors/Masters or equivalent experience in Computer Science
8+ years of experience in System Software architecture and development for real time embedded systems
4+ years of direct, hands-on ISO 26262 functional safety engineering experience.
Strong understanding of computer architecture and operating system fundamentals
Experience in designing and developing solutions for complex system problems.
Practical experience using AI-assisted software development lifecycle.
A dedicated, team and results oriented, self-motivated contributor with excellent analytical and interpersonal skills
Ways to stand out from the crowd:
Demonstrated experience owning ISO 26262 safety lifecycle activities: FMEA/DFA, CPA, safety case development, and working with independent assessors.
In-depth knowledge of embedded systems and real time operating systems, like QNX and RT Linux
Good understanding of ARM architecture and low level software development for ARM v8 based SOCs
Prior hands-on experience in Ada/SPARK programming (including specification and formal verification) and TLA+ formal verification modeling
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
How we rate this
Senior System Software Safety Engineer - Halos Core and Robotics Platform at NVIDIA rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where functional safety was part of your work. What did you do?
- Tell me about a project where embedded systems was part of your work. What did you do?
- Tell me about a project where iso 26262 was part of your work. What did you do?
- Tell me about a project where virtualization was part of your work. What did you do?
- Walk me through how you've used Qnx in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Functional Safety, Embedded Systems, Iso 26262, Virtualization, and Qnx. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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