Renesas is one of the top global semiconductor companies in the world. We strive to develop a safer, healthier, greener, and smarter world, and our goal is to make every endpoint intelligent by offering product solutions in the automotive, industrial, infrastructure and IoT markets. Our robust product portfolio includes world leading MCUs, SoCs, Analog and power products, plus Winning Combination solutions that curate these complementary products. We are a key supplier to the world’s leading manufacturers of electronics you rely on every day; you may not see our products, but they are all around you.
Renesas employs roughly 21,000 people in more than 30 countries worldwide. As a global team, our employees actively embody the Renesas Culture, our guiding principles based on five key elements: Transparent, Agile, Global, Innovative, and Entrepreneurial. Renesas believes in, and has a commitment to, diversity and inclusion, with initiatives and a leadership team dedicated to its resources and values. At Renesas, we want to build a sustainable future where technology helps make our lives easier. Join us and build your future by being part of what’s next in electronics and the world.
Job DescriptionTransforming Sourcing into a Competitive Advantage is the mission of Part Analytics, an Altium Company. Our AI-powered supply management software empowers manufacturing companies to accelerate product development, improve profit margin and uncover hidden risks in the supply chain.
We are looking for an AI Engineer who will play a foundational role in building AI-driven capabilities within our product ecosystem. This role requires someone who can work independently, take end-to-end ownership, and translate business problems into scalable AI solutions.
You will collaborate closely with product, engineering, and leadership teams to introduce AI features that create real business value.
Responsibilities :
Deeply understands LLM Capabilities and limitations
Architect multi-step Agentic systems that reason and not just generate
Build retrieval-augmented generation (RAG) pipelines and AI-powered workflows.
Build evaluation infrastructure to know when things work
Ship production code with proper observability, error handling, and reliability
Design, build, and deploy AI/ ML solutions aligned with product goals
Identify use cases for AI within existing products and workflows
Work with structured and unstructured data to derive insights
Integrate AI models into production systems (APIs, services)
Monitor model performance and continuously improve accuracy and efficiency
Define AI best practices, documentation, and standards for the organization
Guide developers on AI adoption and implementation
Required experience:
Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, Software Engineering, Mathematics or Statistics
5+ years of experience in Machine Learning and demonstrable experience in AI and Agentic systems
Strong proficiency in Python
Hands-on experience with ML frameworks such as TensorFlow / PyTorch / Scikit-learn
Experience with NLP, recommendation systems, or predictive analytics
Strong understanding of Algorithms, statistics, data structures
Experience of MLOps, model monitoring, and versioning
Experience in deploying AI models at scale using CI/CD pipelines and monitoring tools
Responsible for defining KPIs for AI models (accuracy, latency, cost optimization).
Ability to translate technical solutions into business value and communicate with stakeholders
Lead AI initiatives, mentor team members, and define best practices for scalable and ethical AI solutions.
Strong communication skills to collaborate with cross-functional teams and present AI-driven insights to leadership
Ability to work independently and take ownership
Altium Limited, a part of the Renesas Group and headquartered in San Diego, California, is a global software company accelerating the pace of electronics innovation. We are redefining electronic product creation in a software-defined world with our industry-first cloud-based platform that unites every stakeholder and phase of electronics development.
From startups to world’s technology giants, our digital platforms give more power to PCB designers, supply chain, and manufacturing, letting them collaborate as never before. At Altium, our teams are empowered to innovate, collaborate globally, and help create the future of electronics development.
We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.
Skills Required
- Bachelor's or master's degree in computer science, data science, artificial intelligence, software engineering, mathematics, or statistics
- 5+ years of experience in machine learning
- Demonstrable experience in AI and agentic systems
- Strong proficiency in Python
- Hands-on experience with TensorFlow, PyTorch, or Scikit-learn
- Experience with NLP, recommendation systems, or predictive analytics
- Strong understanding of algorithms, statistics, and data structures
- Experience with MLOps, model monitoring, and versioning
- Experience deploying AI models at scale using CI/CD pipelines and monitoring tools
- Ability to define KPIs for AI models, including accuracy, latency, and cost optimization
- Ability to translate technical solutions into business value and communicate with stakeholders
- Experience leading AI initiatives, mentoring team members, and defining scalable and ethical AI best practices
- Strong communication skills for cross-functional collaboration and presenting AI-driven insights to leadership
- Ability to work independently and take ownership
Renesas Electronics Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Renesas Electronics and has not been reviewed or approved by Renesas Electronics.
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Fair & Transparent Compensation — Feedback suggests pay is generally fair-to-good across many roles, with base pay aligned to prevailing market levels in multiple U.S. locations. Engineering and leadership tracks can be competitive on total compensation, reinforcing a sense that pay can meet market expectations in key job families.
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Healthcare Strength — Feedback suggests core medical, dental, and vision coverage is solid and well-regarded by employees. Day-one eligibility in U.S. roles is described, supporting confidence in access and continuity of care.
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Leave & Time Off Breadth — Feedback suggests PTO, paid holidays, sick time, and parental leave provide a comprehensive time-off framework. Company initiatives like Renesas Day and meeting-light Focus Fridays further support time away and balance.
Renesas Electronics Insights
What We Do
We're the world's leading semiconductor manufacturer. Our mission is to make our lives easier and a world that's safer, healthier, greener, and smarter.
