NVIDIA
Senior System Software Engineer, Tegra Security Software

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Senior System Software Engineer, Automotive Cybersecurity
At NVIDIA, we invite a hard-working Senior System Software Engineer, Automotive Cybersecurity, to join the HPSE Interface team in the United Kingdom. This is a remarkable opportunity to aid the creation and upkeep of software that delivers security services for NVIDIA's automotive platforms. You will examine sophisticated, low-level software and gain hands-on knowledge of how PKCS#11 functions within the DRIVE OS security architecture alongside hardware and software components. As you expand your system-level expertise, you will collaborate with global engineering teams to translate requirements into durable solutions for our customers. Engage throughout the software lifecycle, from development and deployment to validation, integration, release support, and issue resolution.
What you'll be doing:
- Develop deep expertise in our HPSE security architecture and its interactions with hardware security, operating-system components, and other security services.
- Build, implement, test, debug, and maintain C-based software and interfaces for PKCS#11 and related security services within DRIVE OS and other deployments of the Tegra chipsets.
- Collaborate with software, hardware, system architecture, safety, security, quality, and customer-facing teams to resolve required specification.
- Investigate and resolve complex system, integration, and customer-reported issues; communicate technical findings clearly and drive issues to closure.
- Build and maintain unit, integration, and end-to-end tests; improve test automation and software quality.
- Participate in code reviews, build discussions, and documentation to ensure maintainable, secure, and reliable software.
- Contribute to development and release activities that follow applicable product lifecycle, safety, security, and quality processes.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What we need to see:
- Bachelor's degree or equivalent in Computer Science, Computer Engineering, Electrical Engineering, or a related technical area. The role is suitable for candidates progressing beyond new-graduate scope and building toward independent ownership.
- 2-4+ years of experience
- Outstanding C programming and debugging skills; ability to write clear, reliable, and maintainable code.
- Solid foundations in data structures, operating systems, computer architecture, and software engineering practices.
- Methodical and analytical approach, learn complex systems, and work effectively with distributed cross-functional teams.
- Clear written and verbal communication skills, to communicate technical trade-offs clearly and collaborate on customer requirements.
- A proactive, quality-focused approach and a desire to learn and deliver in a safety- and security-conscious engineering environment, while adopting Agentic AI in disciplined and creative ways.
- A grasp of, and curiosity about, the broader effects of our work. A blend of technical expertise paired with commercial insight, leading to the capability to make sound tactical choices.


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Ways to stand out from the crowd:
- Internships, research or professional experience in Linux/QNX embedded systems, SoCs based on ARM technology, platform security, working with device and driver connectivity.
- Python experience, particularly for test automation, tooling, analysis, or developer efficiency.
- Interest in or experience with Rust for systems programming, secure software, or tooling.
- Knowledge of applied cryptography, PKCS#11, key management, hardware security modules, secure boot, roots of trust, trusted execution environments, or hardware/software security boundaries.
- Familiarity with automotive ISO 26262 functional-safety and ISO 21434 cybersecurity concepts.
- Experience working in a disciplined product lifecycle (PLC) environment, including requirements, traceability, configuration management, verification, and release-quality practices and experience with CI/CD, source control, code review, automated testing, and debugging of hardware/software integration issues.
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