Renesas Electronics: Sr Staff Engineer, AI/ML Applications — Bengaluru, KA, India

About Renesas Electronics

Renesas Electronics develops semiconductors for automotive, industrial, infrastructure and connected-device applications. Its employer description identifies microcontrollers, system-on-chip devices, analogue components and power products within its portfolio. These components form part of electronic systems made by other manufacturers. Renesas also describes combining complementary products into solutions for customers, connecting individual chips with the needs of an end application. Its business therefore involves both semiconductor technology and how that technology is used in wider electronic products.

The position and its setting

Renesas Electronics lists Sr Staff Engineer, AI/ML Applications in Bengaluru, KA, India, under reference 20033310_2026-09-17. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Employment type: Full-time
• Employer listing date: 6 October 2026
• Brands: Renesas Electronics

Responsibilities and work described

• Job Summary
• Renesas is seeking a Sr Staff Engineer to build AI-powered engineering applications and data platforms that improve semiconductor development productivity, accelerate decision-making, and reduce engineering cycle time
• The ideal candidate will lead the development of scalable full-stack solutions that transform engineering data into actionable insights through AI-driven workflows, analytics, and modern web applications
• This role spans data engineering, backend services, AI integration, and React-based user experiences, enabling solutions such as engineering copilots, design exploration agents, workflow automation, and digital-thread platforms
• Leadership: development of AI-powered engineering applications and platforms
• Integration: LLMs, RAG systems, vector databases, and agent frameworks into production solutions
• Design: and implement scalable data ingestion, transformation, and serving pipelines for engineering data
• Building: backend services and APIs supporting AI agents, workflow orchestration, analytics, and decision-support systems
• Development: modern web applications using React.js and TypeScript
• Design: data models connecting requirements, architecture, implementation, verification, and sign-off results into a unified engineering knowledge platform
• Building: dashboards, analytics, and workflow automation solutions that improve engineering productivity and reduce cycle time
• Collaboration: with Architecture, Design, Verification, and Product Engineering teams to identify and deliver high-impact AI solutions
• Drive technical direction, architecture reviews, and engineering best practices
• Mentor engineers and influence technology strategy across teams

Essential requirements and candidate background

• BS/MS in Computer Science, Electronics, AI/ML, or related field
• 10+ years of software engineering experience
• Experience developing AI-enabled applications using LLMs, RAG, vector databases, or agent-based architectures
• Experience: Data Engineering, including ETL pipelines, data modelling, data quality, and large-scale data processing using Azure Data Bricks
• Proficiency: Python and backend application development
• Experience: React.js, TypeScript, HTML, and modern web technologies
• Experience building REST APIs, microservices, and distributed systems
• Software design, problem-solving, and communication skills
• Demonstrated technical leadership and mentoring experience
• Nice-to-Have
• Experience: semiconductor design flows, EDA tools, or engineering productivity platforms
• Familiarity: physical design, verification, PPA analysis, or silicon development workflows
• Experience: graph databases, knowledge graphs, and engineering knowledge-management systems
• Experience: docker, cloud-native platforms, and workflow orchestration frameworks

Location, schedule and contract conditions

• Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day
• Work arrangement: On-site
• Advertised location: Bengaluru, KA, India

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Sr Staff Engineer, AI/ML Applications vacancy is not an offer for reference 20033310_2026-09-17; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Renesas Electronics

Applications follow the official employer page linked below.

Open the official Renesas Electronics posting below and match the title and reference 20033310_2026-09-17.

Compare your qualifications and experience with the essential conditions for the Bengaluru, KA, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• TypeScript
• Docker
• Azure
• REST APIs
• APIs
• AI/ML
• LLMs
• React
• AI