Axiro Semiconductor

Axiro is a semiconductor company specializing in high-performance RF and mmWave solutions for 5G, Satcom, and aerospace applications. They offer a broad portfolio of products including amplifiers,…

5GAerospaceConnectivityInnovationmmWaveRFSatcomSemiconductoraxiro.com

Axiro Semiconductor

Axiro is a semiconductor company specializing in high-performance RF and mmWave solutions for 5G, Satcom, and aerospace applications. They offer a broad portfolio of products including amplifiers,…

5GAerospaceConnectivityInnovationmmWaveRFSatcomSemiconductoraxiro.com

HQBengaluru, IN

Team Size74

Open Jobs11

Total Funding-

Latest FundraiseUnknown

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AI (Autonomous Driving) Engineer

RemoteBengaluru, Karnataka, IN

Remote • Bengaluru, Karnataka, IN

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About Axiro Semiconductor

Axiro Semiconductor is a fabless semiconductor design company headquartered in Bengaluru, driving innovation in RF, wireless infrastructure, satellite communication (Satcom), and high-speed connectivity solutions. Backed by CG Power & Industrial Solutions Ltd. part of the 120-year-old Murugappa Group. Axiro represents India’s leap into the global semiconductor arena. With millions of chips already powering global networks, a world-class team across India, the US, and Europe, and cutting-edge expertise spanning RF, mmWave, GaN, and next-generation communication technologies, Axiro is engineering the future of how the world connects, computes, and communicates.

For more information, please visit: www.axiro.com

Key Responsibilities

Edge AI Architecture & Design: Define and lead the design of AI architectures optimized for edge deployment in autonomous driving systems.
Algorithm Development: Develop and optimize AI/ML models for perception, sensor fusion, localization, and planning (e.g., camera, radar, LiDAR).
HW/SW Co-Optimization: Collaborate with SoC, hardware acceleration, and architecture teams to optimize AI workloads for performance, power, and latency.
Deployment & Optimization: Implement model compression, quantization, and pruning techniques to enable real-time edge inference.
Automotive Integration: Ensure AI solutions meet automotive requirements for functional safety, reliability, and real-time operation.
Cross-Functional Collaboration: Work closely with silicon, software, and systems teams to integrate AI solutions into complete autonomous driving platforms.
Technology Evaluation: Evaluate emerging AI techniques, frameworks, and edge deployment strategies to guide future product direction.
Mentorship & Technical Leadership: Lead and mentor AI engineers, setting best practices and driving technical excellence.
Customer & Partner Engagement : Support customer discussions and collaborations related to edge AI capabilities and autonomous driving use cases.

Qualifications

Education: Bachelor’s degree in Computer Engineering, Electrical Engineering, or Computer Science; Master’s or Ph.D. preferred.
Experience: 5+ years in AI/ML or embedded systems development, with at least 5 years focused on edge AI or autonomous driving applications.
Technical Expertise: Strong understanding of deep learning, computer vision, sensor fusion, and edge deployment constraints.
Frameworks & Tools: Experience with AI frameworks such as TensorFlow, PyTorch, ONNX, and edge deployment toolchains.