Senior Machine Learning Engineer, Perception
Santa Clara, CA
- Pay
USD 150,000–200,000/year — pay source
Salary 150,000 – 200,000 USD per year Your opportunities joining PlusAI
Read the full posting- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDesign, implement, and optimize BEV-based perception models fusing camera, LiDAR, and radar
Benchmark perception models on large-scale datasets using quantitative metrics
Work with research, data, and deployment engineers to refine models for real-world use
Keep models robust, performant, and scalable for production systems
From the employer’s posting
Design, implement, and optimize BEV-based perception models that fuse camera, LiDAR, and radar inputs.
Benchmark perception models using large-scale datasets and well-defined quantitative metrics.
Collaborate cross-functionally with research, data, and deployment engineers to refine models and support real-world applications.
Maintain a strong focus on performance, robustness, and scalability for deployment in production systems.
What you’ll bring
All qualificationsCore experience
- Master's or PhD in AI, computer science, EE, robotics, or related field
- PhD new grad, or Master's plus 3 years industry experience
- Proficiency in Python and building deep learning pipelines
- Strong expertise in PyTorch, TensorFlow, or JAX
- Proven experience with LiDAR-based 3D perception and BEV models
Preferred experience
- Hands-on experience developing deep learning models in real-world or production environments.
- Experience with distributed training, high-performance computing, or GPU acceleration.
Qualification wording
Ph.D. or Masters in AI, Computer Science, Electrical Engineering, Robotics, or a related field.
Ph.D. new grad or Masters + 3 years industry experience
Proficiency in Python and experience building deep learning pipelines.
Strong expertise in PyTorch, TensorFlow, or JAX.
Proven experience with LiDAR-based 3D perception and BEV representation models
Hands-on experience developing deep learning models in real-world or production environments.
Experience with distributed training, high-performance computing, or GPU acceleration.
Education & alternatives
Required Skills: - Ph.D. or Masters in AI, Computer Science, Electrical Engineering, Robotics, or a related field. - Ph.D. new grad or Masters + 3 years industry experience
- Ph.D. or Masters in AI, Computer Science, Electrical Engineering, Robotics, or a related field. - Ph.D. new grad or Masters + 3 years industry experience - Proficiency in Python and experience building deep learning pipelines.
Tools in this posting
- Python
- PyTorch
- TensorFlow
Source — Tool mentions in context
- Ph.D. new grad or Masters + 3 years industry experience - Proficiency in Python and experience building deep learning pipelines. - Strong expertise in PyTorch, TensorFlow, or JAX.
- Proficiency in Python and experience building deep learning pipelines. - Strong expertise in PyTorch, TensorFlow, or JAX. - Proven experience with LiDAR-based 3D perception and BEV representation models
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 17, 2026 · 13 days ago
- Recorded sightings
- 16
- Last seen by us
- Oct 30, 2026
- Employer says posted
- Aug 4, 2026
- Reposted
- once since Aug 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
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Job description
PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.
We are seeking a highly skilled Machine Learning Engineer with deep expertise in developing Bird’s Eye View (BEV) fusion models using multimodal sensor inputs, particularly LiDAR. You will play a central role in designing scalable perception algorithms that integrate data from camera, LiDAR, and radar sensors to support autonomous driving and 3D scene understanding.
Responsibilities
- Design, implement, and optimize BEV-based perception models that fuse camera, LiDAR, and radar inputs.
- Benchmark perception models using large-scale datasets and well-defined quantitative metrics.
- Collaborate cross-functionally with research, data, and deployment engineers to refine models and support real-world applications.
- Maintain a strong focus on performance, robustness, and scalability for deployment in production systems.
- Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
- Ensure team compliance with QMS, monitor quality, and drive process improvements.
Required Skills:
- Ph.D. or Masters in AI, Computer Science, Electrical Engineering, Robotics, or a related field.
- Ph.D. new grad or Masters + 3 years industry experience
- Proficiency in Python and experience building deep learning pipelines.
- Strong expertise in PyTorch, TensorFlow, or JAX.
- Proven experience with LiDAR-based 3D perception and BEV representation models
- Deep understanding of multimodal sensor fusion architectures and techniques.
- Familiarity with camera, LiDAR, and radar modalities and their synchronization, calibration, and integration in perception pipelines.
- Solid foundation in computer vision, deep learning, and 3D geometry.
Preferred Skills:
- Industry or academic experience in autonomous vehicle perception, robotics, or related areas.
- Hands-on experience developing deep learning models in real-world or production environments.
- Experience with distributed training, high-performance computing, or GPU acceleration.
Salary
150,000 – 200,000 USD per year
Your opportunities joining PlusAI
Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.
Employment type
Full-time
Source details
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- Pay
Salary 150,000 – 200,000 USD per year Your opportunities joining PlusAI
- Location & working pattern
Santa Clara, CA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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