Staff Machine Learning Engineer – Automotive Cybersecurity
$158,400 - $237,600 USD yearly
Originally posted 31 August 2026 by the employer.
About the role
This role involves driving AI/ML-based automation across Automotive SoC Cybersecurity and Functional Safety engineering at Qualcomm.
What you'll do
- Design and develop AI/ML-based automation solutions for cybersecurity and functional safety engineering workflows.
- Build intelligent systems for document understanding, review automation, and engineering productivity.
- Develop and deploy solutions leveraging LLMs, GenAI, and agentic AI frameworks.
- Contribute to knowledge automation platforms that support cross-project reuse and decision support.
- Build scalable, end-to-end automation pipelines spanning multiple engineering domains.
- Apply AI/ML to security analysis, compliance monitoring, and process optimization.
What you'll need
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience, OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience, OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- Strong background in Machine Learning and Artificial Intelligence.
- Experience with LLMs, GenAI, and agentic AI systems or intelligent automation frameworks.
- Strong programming skills in Python, C, or similar languages, with solid software engineering fundamentals.
- Experience building scalable, production-quality ML pipelines, model training workflows, or inference systems.
- Experience with knowledge systems, semantic search, retrieval-augmented generation (RAG), or workflow orchestration platforms.
Nice to have
- Master's or PhD degree in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or a related technical field.
- 5 years of experience in machine learning, artificial intelligence, software engineering, or applied intelligent systems.
- 4 years of work experience with Programming Language such as C, C++, Java, Python, etc.
- Experience designing, developing, and deploying ML or AI-based solutions in production or engineering environments.
- Experience with agentic AI systems, multi-agent orchestration frameworks, or autonomous workflow automation.
- Familiarity with automotive cybersecurity or functional safety standards such as ISO/SAE 21434, ISO 26262, or UNECE WP.29.
- Exposure to hardware security concepts, RTL design, design verification, or silicon validation workflows.
- Experience developing AI-assisted tools for compliance, audit, or regulatory process automation.
- Demonstrated experience leading cross-functional technical initiatives or contributing to platform-level AI/ML solutions.
Skills: AI/ML-based automation, Automotive SoC Cybersecurity, Functional Safety, LLMs, GenAI, ISO/SAE 21434
This role has been open 22 days — well below the 68-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
514
|
Median days open
68 d
|
Median salary
$232k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Qualcomm | All employers we track in this specialty (514 roles · 75 employers) |
|---|---|---|
| Open roles in this specialty | 109 | 514 |
| Open roles in the wider Software, Firmware & Systems family | 767 | 5948 · 143 employers |
| Median days open | 98 d | 68 d (+30 d vs this employer) |
| Median salary (USD postings) | — | $232k |
Skills observed across this category: AI/ML-based automation, Automotive SoC Cybersecurity, Functional Safety, LLMs, GenAI, ISO/SAE 21434
Who's hiring in this category
- Qualcomm (this employer) · 106 open roles · median 101 d
- NVIDIA · 84 open roles · median 63 d
- AMD · 46 open roles · median 61 d
- Micron Technology · 33 open roles · median 43 d
- Mobileye · 21 open roles · median 57 d
- Analog Devices · 14 open roles · median 26 d
How we counted: 514 open AI/ML Hardware Engineering (AI ML Hardware) roles from 75 employers tracked in the SemiconductorJobs index, counted 23 Sept 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.