Machine Learning Engineer, Plus
Perception
$145-200k
+ Equity
Office located in Santa Clara, CA
Self-driving trucks
Be an early applicant
Self-driving trucks
201-500 employees
Be an early applicant
$145-200k
+ Equity
Office located in Santa Clara, CA
201-500 employees
Company mission
To build driving intelligence to power a safer and greener world.
Role
Who you are
- Master’s or Ph.D. in AI, Computer Science, Electrical Engineering, Robotics, or a related field
- 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
Desirable
- 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
What the job involves
- 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
- 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
Our take
With self-driving vehicles becoming more common, the tuck shipping industry stands to benefit from autonomous driving technology, particularly given the current shortage of drives in the US.
Plus provides self-driving technology for trucks to make fleets safer, more fuel-efficient, and sustainable. It uses machine learning to analyze routes and scenarios, providing real-time data to trucks equipped with the PlusDrive system. Unlike competitors focusing on urban transportation, Plus is tackling long-distance logistics, though regulatory challenges in the US remain a concern.
Currently, Plus offers a system that enhances driver safety and efficiency, while continuing to develop fully autonomous solutions. Following a successful pilot with IVECO, Plus is testing its automated trucks on German roads and plans to expand into European markets.
Freddie
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Mar 2021
$220m
LATE VC
Feb 2021
$200m
LATE VC
Total funding: $821.7m
Company benefits
- Unlimited PTO: Unlimited paid time off on top of company holidays to recharge and enjoy as needed
- Flexible working: Flexibile work arrangements and technology to help manage life's demands at the office and remote
- Health benefits: Tiered options in medical, dental, and vision insurance to fit your unique needs
- Future building: Equity, 401k and FSA options for all eligible employees to help build for your future
- Professional development: Company-sponsored professional development opportunities such as conferences, training, and workshops
- Catered lunches: Daily catered lunches at both of our Santa Clara and Fremont offices
Company HQ
Santa Clara, CA
Leadership
David Liu
(Co-Founder & CEO)They hold a PhD in Electrical Engineering from Stanford and began their career as an Engineer at Silicon Graphics. Later, they worked as a Consultant for McKinsey & Co. and went on to serve as the Founder and CTO of both InformLink and RMG Networks. They also have experience as the Founder and CEO of RedAtoms.
Shawn Kerrigan
(Co-Founder & COO)They hold a Master's and PhD in Engineering from Stanford. They served as an Engagement Manager at McKinsey & Co. and later became a Senior Investment Associate at Bridgewater Associates. They also co-founded Locus Energy where they served as the CTO for 8 years.
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