AI Product Engineer - Manassas, VA - Fab 6, United States
Originally posted 17 September 2026 by the employer — open 0 days.
About the role
This role involves defining, designing, and delivering AI-enabled solutions within the business function.
What you'll do
- Own the end-to-end product lifecycle for AI solutions, from vision and roadmap to adoption and measurable outcomes.
- Lead discovery, including user research, persona development, and requirements gathering.
- Serve as the voice of the customer for the agile delivery team, translating business needs into user stories.
- Prototype GenAI and Agentic AI solutions, including prompt/context engineering and evaluation.
- Integrate LLMs via APIs, function/tool calling, and structured outputs; test and validate AI agents.
- Partner with data engineering to identify data sources, design pipelines/ETL, and ensure data quality, security, governance, and observability.
What you'll need
- Master's degree or equivalent experience in Engineering, Data Science, Business Management, Information Systems, or a related area.
- 3+ years of experience across product management/ownership, business process analysis, data science, software development, and/or data engineering in semiconductor industry or related field.
- Hands-on experience building and deploying LLM/GenAI applications, with strong Python, SQL, and data manipulation skills.
- Experience deploying applications and applying software engineering fundamentals — testing, version control, and API design.
- Strong customer and collaborator communication, backlog management, and systems-thinking skills.
Nice to have
- Prior experience as a Product Owner, Data Scientist, or Data Engineer.
- Proven experience partnering with business function stakeholders (Finance, Supply Chain, Sales, or Business Unit teams).
- MLOps/LLMOps tooling and production AI experience.
- Experience with Snowflake/Cortex and vector databases.
- Experience building multi-agent systems.
Skills: AI solutions, GenAI, LLMs, product lifecycle, semiconductor industry
This role has been open 0 days — well below the 65-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
512
|
Median days open
65 d
|
Median salary
$226k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Micron Technology | All employers we track in this specialty (512 roles · 77 employers) |
|---|---|---|
| Open roles in this specialty | 32 | 512 |
| Open roles in the wider Software, Firmware & Systems family | 256 | 5844 · 143 employers |
| Median days open | 37 d | 65 d (−28 d vs this employer) |
| Median salary (USD postings) | — | $226k |
Skills observed across this category: AI solutions, GenAI, LLMs, product lifecycle, semiconductor industry
Who's hiring in this category
- Qualcomm · 105 open roles · median 99 d
- NVIDIA · 85 open roles · median 64 d
- AMD · 42 open roles · median 65 d
- Micron Technology (this employer) · 32 open roles · median 36 d
- Mobileye · 25 open roles · median 50 d
- Analog Devices · 14 open roles · median 21 d
How we counted: 512 open AI/ML Hardware Engineering (AI ML Hardware) roles from 77 employers tracked in the SemiconductorJobs index, counted 18 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.