Sr. Engineer - Inference Engine

Magna International; Maharashtra; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Magna Electronics is seeking an experienced engineer to design and optimize high-performance inference systems for automotive applications. You will work on edge ML runtimes, ROS2 integration, and sensor data workflows to support ADAS features.

You will collaborate across teams to ensure real-time performance on edge hardware, with CI/CD and automated testing integrated into the workflow. Prior experience with automotive-grade SoCs is a plus.

Qualifications

• Bachelor’s or Master’s degree in computer science or information technology.
• 5+ years building high-performance inference systems or embedded ML runtimes.

Responsibilities

• Design and build high-performance inference systems for automotive applications.
• Integrate ML runtimes into SIL/HIL environments and automated pipelines (CI/CD).
• Collaborate on ROS2-based sensor frameworks and ADAS perception modules.
• Ensure real-time constraints and optimize for low latency on automotive edge hardware (SoCs).

Skills

C++17/20

Python

CUDA

Concurrency

Low latency I/O

Edge SoCs

ROS2 integration

ML runtimes

ADAS perception

Sensor data flows

Education

Bachelor's in CS/IT

Tools

Jenkins

GitLab CI

Job description

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What We Offer

At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

Group Summary

Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That’s what we’re passionate about at Magna Electronics, and we do it by creating world-class Electronic systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex Electronic systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Electronics.

Job Responsibilities

• Bachelor’s/master’s degree in computer science, Information Technology
• 5+ years building high performance inference systems or embedded ML runtimes.
  
  

Technical Knowledge

• Strong C++17/20, Python, CUDA programming skills.
• Solid understanding of concurrency, memory, and low latency I/O.
• Hands-on experience with edge/automotive SoCs (NVIDIA Orin/Xavier, TI TDA4, Qualcomm SA8xxx, NXP S32, Renesas R-Car).
• Experience integrating inference with ROS2, or sensor frameworks.
• Experience integrating ML runtimes into SIL/HIL environments and automated test pipelines (Jenkins/GitLab CI).
• Deep understanding of ADAS perception and real-time constraints.
• Understanding of camera, radar, LiDAR data flows and synchronization in ADAS stacks.
• Strong debugging and profiling skills.
  
  

Nice to Have

• ADAS simulation (CARLA, Carmaker)
• CI/CD experience (Jenkins, GitHub Actions)
  
  

Awareness, Unity, Empowerment

At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.

Worker Type

Regular / Permanent

Group

Magna Electronics