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Renesas Electronics

Automotive-focused MCUs, SoCs, analog devices

Senior Staff Engineer - AI/ML Applications

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • A BS or MS in Computer Science, Electronics, AI/ML, or a related field.
  • At least 10 years of software engineering experience.
  • Experience developing AI-enabled applications using large language models, retrieval-augmented generation, vector databases, or agent-based architectures.
  • Strong data engineering experience, including ETL pipelines, data modeling, data quality, and large-scale data processing using Azure Databricks.
  • Strong proficiency in Python and backend application development.
  • Hands-on experience with React.js, TypeScript, HTML, and modern web technologies.
  • Experience building REST APIs, microservices, and distributed systems.
  • Strong software design and problem-solving skills.
  • Demonstrated technical leadership and mentoring experience.

Responsibilities

  • Lead development of AI-powered engineering applications and platforms.
  • Integrate large language models, retrieval-augmented generation systems, vector databases, and agent frameworks into production solutions.
  • Design and implement scalable data ingestion, transformation, and serving pipelines for engineering data.
  • Build backend services and APIs supporting AI agents, workflow orchestration, analytics, and decision-support systems.
  • Develop 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.
  • Build dashboards, analytics, and workflow automation solutions that improve engineering productivity and reduce cycle time.
  • Collaborate 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.

Desired Qualifications

  • Experience with semiconductor design flows, electronic design automation tools, or engineering productivity platforms.
  • Familiarity with physical design, verification, power, performance, and area analysis, or silicon development workflows.
  • Experience with graph databases, knowledge graphs, and engineering knowledge-management systems.
  • Experience with Docker, cloud-native platforms, and workflow orchestration frameworks.

About the Company

Renesas Electronics

Automotive-focused MCUs, SoCs, analog devices

Renesas manufactures and sells MCUs, SoCs, and analog/power semiconductor devices to OEMs, focusing on automotive, industrial, infrastructure, and IoT markets. Its chips are building blocks that run embedded software and manage power and signals, and its Winning Combinations offer pre-tested system architectures to speed up design. It differentiates itself by growing through acquisitions to offer a broad, integrated portfolio and by moving toward a unified digital design platform to reduce integration work. Its goal is to become a leading supplier of these components and provide a single platform for electronics design that speeds time-to-market.

Company size
10,001+
Company stage
IPO
Headquarters
Tokyo, Japan
Founded
2002

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