Job summary
Job post source
This job is directly from Plus
Job overview
The Senior Software Engineer, Controls at Plus is responsible for advancing the autonomy motion planning and control stack, significantly impacting the development of autonomous driving technology.
Responsibilities and impact
The role involves designing and enhancing control algorithms, developing data-driven controllers, building tools for dataset generation and training, ensuring real-time model efficiency, leading vehicle testing, and staying updated with research advancements.
Compensation and benefits
The position offers a salary range of $150,000 to $200,000 annually, with exact compensation based on skills and experience, along with a competitive benefits package including a 401(k) plan, catered free lunch, and unlimited snacks and beverages.
Experience and skills
Candidates should have a Master's or PhD in a relevant field, 2+ years of machine learning engineering or robotics experience, strong skills in motion control, neural networks, Python, C++, and model training frameworks like PyTorch; preferred skills include adaptive control, vehicle dynamics, and safety guarantees for dynamical systems.
Career development
Plus offers wide opportunities for personal and professional growth in a future-oriented and innovative environment.
Work environment and culture
The company culture is innovative, dynamic, and future-focused, providing a supportive environment with perks like free catered lunch and snacks.
Company information
Plus is a Silicon Valley-based global leader in autonomous driving solutions, recognized by Forbes and Fast Company, partnering with major vehicle manufacturers and known for its transformative technology.
Team overview
The candidate will join a cross-functional team of engineers, research scientists, and domain experts focused on autonomy controls and motion planning.
Job location and travel
The job is based at Plus's headquarters in Silicon Valley, California, with involvement in both offline simulation and public road vehicle testing.
Unique job features
The role offers unique opportunities to work on cutting-edge autonomy technology, integrating machine learning with control systems in real-world autonomous trucking applications.
Company overview
Plus is a leading autonomous trucking technology company that focuses on developing self-driving systems for long-haul trucks. They generate revenue through partnerships with major trucking fleets and logistics companies, providing them with advanced driver-assistance systems that enhance safety, efficiency, and fuel savings. Founded in 2016, Plus has made significant strides in the autonomous vehicle industry, including successful pilot programs and collaborations with industry giants like Amazon and Cummins. Their technology integrates AI, machine learning, and sensor fusion to create reliable and scalable solutions for the trucking industry.
How to land this job
Position your resume to highlight your expertise in motion control, machine learning for robotics, and development of control algorithms integrating MPC with learning-based approaches like DL, RL, or IL, as these are central to the role at Plus.
Emphasize your experience with Python and C++ programming, debugging in Linux environments, and hands-on work with PyTorch or similar frameworks for model development and training, to align with the technical requirements.
Apply through multiple channels including Plus’s corporate careers page and LinkedIn to maximize your application visibility and ensure you don’t miss any openings or updates.
Connect with engineers and team members in Plus’s controls or autonomy divisions on LinkedIn, using ice breakers like commenting on recent Plus innovations, mentioning shared interests in autonomous vehicle technology, or asking about their experience working on control system challenges.
Optimize your resume for ATS by incorporating keywords from the job description such as 'motion planning,' 'machine learning vehicle models,' 'MPC,' 'trajectory tracking,' 'Python,' 'C++,' and 'PyTorch' to ensure your resume passes automated screenings.
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