About the Job
Function: Engineering → AI / Deep Learning
Experience: 8–12 Years of Relevant Industry Experience
Location: Ahmedabad/ Hybrid
About drivebuddyAI
drivebuddyAI is a fast-growing, AI & mobility technology company building the world's first
continuous-learning AI platform for vehicle safety and intelligence. Founded in 2018 with a
vision to transform real-world driver behavior into collective intelligence, we are now a globally
recognized provider of ADAS and Driver Monitoring solutions for fleets, auto OEMs, insurers,
and smart cities.
Our platform processes over 3.5+ billion kilometres of real-world driving data, delivering proven
outcomes such as 70%+ accident reduction in commercial fleet deployments. We are validated
by leading global testing agencies including ARAI (India) and IDIADA (Europe), and our
solutions are compliant with India GSR, Euro GSR, and Euro NCAP 2026 protocols.
Headquartered in Ahmedabad, India with a global footprint, we are a team of passionate
engineers, AI researchers, and automotive professionals working at the intersection of computer
vision, edge AI, embedded systems, and mobility. We are capital-efficient, innovation-driven,
and scaling rapidly to shape the future of transportation.
The Role: Senior Deep Learning Engineer – Autonomous Systems
We're looking for a highly experienced Deep Learning Engineer with strong industry experience
in building Autonomous Vehicle (AV) or ADAS systems.
This role is about:
- Architecting and deploying deep learning models for autonomous driving
- Leading perception and vision-based AI development
- Building production-grade AI systems for real-world automotive environments
- Mentoring AI engineers and driving technical excellence
What You'll Be Doing
- Design and develop state-of-the-art deep learning models for perception tasks such as object
- detection, lane detection, semantic segmentation, tracking, and driver monitoring.
- Work on multi-sensor fusion (camera, LiDAR, radar, IMU) for autonomous systems
- Lead model training, evaluation, validation, and optimization pipelines
- Optimize AI models for edge deployment (latency, memory, and compute constraints)
- Deploy models on embedded platforms with hardware accelerators (GPU, NPU, VPU)
- Collaborate with embedded, hardware, and systems teams for real-world integration
- Drive robustness improvements across varying weather, lighting, and road scenarios
- Ensure compliance with automotive safety and validation standards
- Review architecture decisions and mentor junior AI engineers
- Contribute to research-driven innovation while maintaining production focus
What You Must Have
- 8–12 years of experience in Deep Learning / Computer Vision
- Proven industry experience working on Autonomous Vehicle or ADAS systems
- Strong proficiency in Python and C++
- Deep expertise in PyTorch and/or TensorFlow
- Hands-on experience with perception models (Detection, Segmentation, Tracking)
- Experience with multi-sensor fusion systems
- Strong understanding of model optimization for edge deployment (ONNX, TensorRT,
- quantization)
- Strong mathematical foundation (linear algebra, optimization, probability)
- Experience handling large-scale real-world driving datasets
- Proven track record of deploying production-grade AI systems
Good to Have
- Experience working with LiDAR and radar-based perception
- Exposure to ISO 26262 or automotive safety standards
- Experience with simulation environments for autonomous systems
- Experience leading AI teams
- Research publications or patents in autonomous systems
Why drivebuddyAI
Why Join Us
- Work on cutting-edge AI technology with real-world impact
- Collaborate with a talented, mission-driven team
- Solve complex challenges in computer vision, embedded systems, and automotive safety
- Grow with a company poised for global expansion in a high-growth industry
Our Values
- Continuous Learning: We believe the best AI, like the best people, never stops improving.
- Real-World Impact: We measure success by lives saved and roads made safer.
- Technical Excellence: We build robust, validated, production-ready systems.
- Collaborative Innovation: Great ideas come from diverse minds working together.
We Invest in Our People
- Competitive Salary & Benefits
- OKR-driven appraisals
- Flexible Leave Policy
- Employee Skill Enhancement
- Highly dynamic work culture
- Opportunity for equity participation
