Software Manager

Renesas Electronics Corporation

Detroit, Northern (MI, KY)

Hybrid

USD 120,000 - 190,000

Full time

40 hours ago
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Job summary

Renesas Electronics is seeking a Software Manager to lead an engineering team delivering embedded software for HPC/HSBD SoC-based automotive and industrial solutions. You will guide AI-focused software, edge inference, and vision analytics across multiple product lines, collaborating with marketing, sales, FAE, and external partners.

The role emphasizes technical leadership, PoC development, and customer-focused engineering support, with global collaboration across teams in Japan, the U.S.,

Qualifications

  • Bachelor’s or Master’s degree in CS, EE, AI/ML, Robotics or related field.
  • 5–10 years of embedded software development experience.
  • At least 2+ years in technical leadership or management role.
  • Strong programming skills in C and C++.
  • Solid understanding of embedded Linux and/or FreeRTOS.
  • Experience with AI/ML workloads on edge devices is preferred.
  • Familiarity with vision pipelines, video processing, and multimedia subsystems.
  • Excellent communication with engineers, product managers, sales teams, and customers.

Responsibilities

  • Lead and manage a team of embedded software engineers and application engineers for HPC/HSBD SoC solutions.
  • Define technical direction for AI-enabled software across edge AI, vision analytics, and video pipelines.
  • Support system-level software development for ADAS, IVI, Connected Gateway, robotics, and data center edge.
  • Drive concept-to-product migration with PM, hardware, SW architecture, and customers.
  • Develop and oversee POCs, demos, reference designs, and evaluation platforms.
  • Provide technical leadership for AI/ML deployment, model optimization, and accelerator usage.
  • Engage with customers technically: RFI/RFQ responses, deep dives, and POC scoping.

Skills

C/C++
embedded Linux
RTOS
AI/ML edge deployment
vision pipelines
graphics acceleration
team leadership

Education

Bachelor’s or Master’s degree in Computer Science / Electrical Engineering / AI/ML / Robotics

Job description

Job Description

The High Performance Compute SoC Business team is seeking aSoftware Managerto lead an engineering team supporting the development of software solutions forADAS, IVI, Connected Gateway, and Industrial segments. This role will focus on delivering high-quality embedded software solutions with strong emphasis onedge AI, vision analytics, video pipelines, graphics, connectivity, and AI compute accelerationon Renesas SoC platforms.

The successful candidate will manage a team of application engineers and embedded software developers while continuing to provide technical leadership across product development, customer engagement, proof-of-concept delivery, and technical marketing support. This role requires close collaboration with internal teams including development, marketing, sales, FAE, and other Application Engineering groups, as well as external customers and partners.

Responsibilities
  • Lead and manage a team of embedded software engineers and application engineers supporting HPC/HSBD SoC-based solutions for automotive and industrial markets.
  • Define technical direction and execution plans for AI-focused software solutions in areas such as:
    • Edge AI inference
    • Vision analytics
    • Video pipelines
    • Camera processing
    • Graphics acceleration
    • Connectivity stacks
    • AI compute optimization on SoC platforms
  • Support the development of system-level software solutions forADAS, IVI, Connected Gateway, robotics, factory automation, data center edge, and other industrial applications.
  • Drive concept-to-product migration by working with product management, hardware teams, SW architecture groups, and customer-facing engineering teams.
  • Develop and oversee Proof-of-Concepts (POCs), demos, reference designs, and evaluation platforms for internal and external use.
  • Provide technical leadership in AI/ML software deployment on embedded SoC platforms, including model optimization, runtime integration, performance tuning, and accelerator utilization.
  • Support customer engagement from a technical perspective, including:
    • RFI/RFQ responses
    • Technical deep dives
    • Solution architecture discussions
    • POC scoping and validation support
    • Customer issue triage and escalation management
  • Collaborate with marketing and sales teams to prepare technical materials such as application notes, workshop content, solution briefs, and customer-facing demos.
  • Establish engineering best practices for embedded SW development, code quality, testing, debugging, performance analysis, and release readiness.
  • Mentor engineers on AI/ML edge deployment, embedded Linux, RTOS, C/C++, video pipelines, and SoC-specific optimization techniques.
  • Work with global teams across Japan, U.S., Europe, China, and Asia to support product development and customer programs.
Qualifications
  • Bachelor’s or Master’s degree inComputer Science, Electrical Engineering, AI/ML, Robotics, or a related field.
  • 5–10 years of experiencein embedded software development, with at least2+ years in a technical leadership or management role.
  • Strong programming skills inC and C++.
  • Solid understanding ofembedded Linux and/or FreeRTOS.
  • Experience developing, deploying, or optimizing AI/ML workloads on edge devices is strongly preferred.
  • Familiarity with vision pipelines, camera interfaces, video processing, graphics acceleration, or multimedia subsystems.
  • Understanding of embedded debugging techniques, performance profiling, memory management, concurrency, and system-level troubleshooting.
  • Experience working with SoC-based platforms for automotive, industrial, or edge AI applications is highly desirable.
  • Strong communication skills and ability to interact effectively with engineers, product managers, sales teams, FAEs, and customers.
  • Ability to independently learn new Renesas SoC architectures, software stacks, and AI acceleration technologies.
Preferred Qualifications
  • Experience withedge AI inference frameworks, model optimization, quantization, or accelerator-based deployment.
  • Familiarity with automotive software development environments, including ADAS/IVI system architecture.
  • Exposure to functional safety concepts such asISO 26262is a plus.
  • Experience supporting customer POCs, reference designs, or technical marketing activities.
  • Prior experience in application engineering, FAE, embedded SW management, or product engineering roles.
Additional Information

Renesas is an embedded semiconductor solution provider driven by its Purpose, To Make Our Lives Easier. With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on world‑leading technology for Automotive, Industrial, Infrastructure, and IoT, shaping a safer, healthier, greener, and smarter future.

At Renesas, TAGIE is our culture, grounded in being Transparent, Agile, Global, Innovative, and Entrepreneurial. It shapes how we work, grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives.

We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.

Are you ready to join our team and shape the future with us?

Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting 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.

Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.

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