Senior Software Engineer, Plus
Controls
$150-185k
Office located in Santa Clara, CA
Self-driving trucks
Be an early applicant
Self-driving trucks
201-500 employees
Be an early applicant
$150-185k
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 PhD degree in Mechanical Engineering, Robotics, Aerospace Engineering, Computer Science, or related field
- 2+ years of MLE experience or industry experience designing and developing for robotics applications
- Strong foundation in motion control and modern neural network architectures, with expertise in at least one application area, such as IL/RL, time-series analysis, or dynamic system modeling
- Skilled in debugging robotic systems within Linux environments, with strong programming expertise in Python and C++
- Experience in model development & training with modern frameworks (e.g. PyTorch)
- Hands-on familiarity with data ingestion and processing pipelines
Desirable
- Hands-on application skills in any of the following areas: adaptive and nonlinear control, MPC & optimal control, robust control, data-driven control, Kalman filters, etc
- Have a solid understanding of AV control, vehicle dynamics and drive-by-wire systems
- Proven expertise with Application, Verification and Validation for ADAS / autonomous driving features and functions
- Experience implementing Safety guarantees for dynamical systems
What the job involves
- As a Senior Software Engineer on our controls team, you will deliver mission-critical improvements and new features for our autonomy motion planning and control stack
- You will be a crucial part of our team, working alongside engineers, research scientists, and domain experts to build optimal and data driven controls to realize planned vehicle trajectories
- Your responsibilities will include the development of machine-learning vehicle models and learning based control policies, leveraging the extensive data we collect every day across our autonomous trucking fleet
- You will also have the opportunities to solve real-world autonomy system challenges by participating in vehicle performance analysis, tuning, and troubleshooting
- You will contribute significantly to our commitment to pushing the frontiers of technological innovation in autonomy
- Design, implement, and enhance control algorithms by developing frameworks that integrate MPC with learning based approaches (DL/RL/IL)
- Responsible for the conceptual design and implementation of data driven controller by working cross-functionally with domain experts and other stakeholders by specifying meaningful insights for solving trajectory tracking problems
- Develop tools and infrastructure for dataset generation, training, and evaluation to drive advancements in online control optimization
- Ensure all model development keeps a real-time focus and operates efficiently in compute-constrained environments
- Take a lead role in the planning and execution of vehicle testing in the offline simulation environment and on public roads to systematically improve performance, as well as performing root cause analysis and debugging to address any issues
- Track and incorporate the latest multidisciplinary research advancements in a fast-moving field
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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