At a Glance
- Tasks: Lead AI engineering for innovative recommender systems and mentor a dynamic team.
- Company: Join Renesas Electronics, a leader in tech innovation and diversity.
- Benefits: Enjoy comprehensive benefits including health, paid time off, and professional development.
- Other info: Opportunity to build processes from scratch in a supportive environment.
- Why this job: Make a real impact in AI while shaping the future of technology.
- Qualifications: 8-10 years in software systems with strong AI/ML expertise and leadership skills.
The predicted salary is between 80000 - 100000 £ per year.
We are seeking an experienced technical leader who can drive our AI Recommender System engineering function. This individual should bring significant experience in AI agent systems embedded within software tools for making live, context‑aware recommendations for documentation links and/or suggestions completing partial user entries. The successful candidate will take responsibility for the recommender panel and related functions within our cloud‑based electronic system design (ESD) tools. They will build upon our existing small team, define processes, and set technical direction.
What You'll Do
- Own the recommender AI engineering function: Define technical strategy, architecture, and roadmap based upon functional requirements set by product manager.
- Build and manage the team: Recruit, onboard, and develop AI engineers; establish team structure, processes, and best practices.
- Establish engineering standards: Create workflows, code review processes, testing frameworks, and documentation practices for ML/AI systems.
- Bridge the gap: Translate between ML engineering and business stakeholders; educate leadership on AI capabilities and limitations.
- Hands‑on technical leadership: Architect and build production ML systems while mentoring team members.
Required Qualifications
- 8-10 years in production‑grade software systems, building and leveraging AI/ML components in related areas, with significant technical and people management experience.
- PhD or Masters in AI/ML or adjacent field.
- Proven ability to establish AI engineering practices in organizations without core AI/ML expertise.
- Self‑directed and autonomous: Comfortable operating with ambiguity and building structure from the ground up.
- AI/ML technical expertise: Fine‑tuning foundation LLM and related models (SFT, RLHF, DPO, etc.), MLOps and production ML infrastructure, PyTorch, HuggingFace Transformers ecosystem, Vector databases, RAG architectures, Cloud software infrastructure experience (AWS/Azure, Databricks, Terraform, Elasticsearch, etc.).
- Communication skills: Ability to explain complex ML concepts to non‑technical stakeholders.
Highly Valued
- Domain expertise in circuit diagrams, PCB schematics, or electronic engineering.
- Knowledge of Graph Neural Networks (GNN) concepts.
- Track record of creating engineering processes and teams from scratch.
Benefits
Renesas offers a wide range of elective benefits including medical, dental, vision, health savings account, dependent care flexible spending account, pre‑tax commuter benefits, life insurance, AD&D, LTD, short‑term medical benefits, paid sick time, paid holidays, and accrued paid vacation. Employees receive company‑paid life insurance and AD&D, LTD, short‑term medical benefits, and paid sick time. A detailed benefit orientation is provided to new employees.
Renesas Electronics is an equal opportunity and affirmative action employer, committed to celebrating diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement.
Sr Staff AI Software Development Engineer in Cambridge employer: Renesas Electronics
Renesas Electronics is an exceptional employer located in the vibrant city of Edinburgh, offering a flexible work environment that fosters innovation and collaboration. With a strong focus on employee growth, you will have the opportunity to mentor junior team members while making a significant impact in the semiconductor industry. The company values a supportive work culture that encourages creativity and professional development, making it an ideal place for experienced engineers looking to advance their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Sr Staff AI Software Development Engineer in Cambridge
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in AI. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those related to AI/ML. Having tangible examples of your work can really set you apart from the crowd.
✨Ace the Interview
Prepare for technical interviews by brushing up on your AI knowledge and coding skills. Practice common interview questions and be ready to discuss your past experiences in detail. Confidence is key!
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Sr Staff AI Software Development Engineer in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Sr Staff AI Software Development Engineer role. Highlight your experience in AI/ML, team management, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you the perfect fit for this position. Don’t forget to mention your leadership style and how you plan to build and manage a successful team with us.
Showcase Your Technical Skills:In your application, be sure to highlight your technical expertise, especially in areas like MLOps, PyTorch, and cloud infrastructure. We’re looking for someone who can hit the ground running, so let us know how your skills match the requirements of the role.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Renesas Electronics
✨Know Your AI Stuff
Make sure you brush up on your AI/ML knowledge, especially around recommender systems and the specific technologies mentioned in the job description. Be ready to discuss your experience with fine-tuning models and MLOps, as well as how you've applied these in real-world scenarios.
✨Show Your Leadership Skills
Since this role involves building and managing a team, be prepared to share examples of how you've successfully led teams in the past. Talk about your approach to mentoring and developing talent, and how you've established engineering standards and best practices in previous roles.
✨Bridge the Gap
This position requires translating complex ML concepts to non-technical stakeholders. Think of examples where you've successfully communicated technical information to a diverse audience. Highlight your ability to educate leadership on AI capabilities and limitations.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Prepare to explain your architectural decisions and the rationale behind them. Familiarise yourself with the tools and frameworks listed in the job description, and be ready to discuss how you've used them in your projects.
