About ForterraForterra is a leading provider of autonomous systems for ground-based movement in the working world. Amongst some of the earliest innovators in the field of driverless technology, Forterra is focused on building systems that protect front-line soldiers and enable civilian workers in our industrial base. Forterra is the go-to provider of ground autonomy solutions for the U.S. Department of Defense, which harnesses the technology for asymmetric warfare in critical conditions.About the roleForterra is seeking an experienced Deep Learning Engineer to join our team in developing state-of-the-art deep learning algorithms for on-road and off-road applications. The ideal candidate will have a strong background in designing and developing deep learning algorithms for online real-time perception and offline data generation in multiple sensor domains and running on hardware operating in varied environments under real-time constraints.What you'll doDesign, develop, train, and deploy state-of-the-art deep learning algorithms in multiple sensor domains: camera, LiDAR, radar.Improve existing deep learning models and monitor their performance over time.Stay up-to-date with academic research and industry trends as relates to deep learning for perception.Mentor junior engineers and contribute to leveling up their skills.QualificationsBS, MS, or PhD in machine learning, computer vision, or robotics, or with equivalent industrial experience4+ years of similar academic and/or professional working experience.Experience with PyTorch or Tensorflow, ROS, Docker, Python.Experience with cloud infrastructure and AWS in particular.Excellent understanding of standard deep learning algorithms for perception.Experience designing, developing, and training deep nets for object detection, semantic/instance segmentation, and traversability prediction.Solid understanding of machine learning training/deployment pipelines and their implementation.Excellent programming skills in Python.Excellent core software engineering skills: software design, containerization, unit testing, and debugging.Experience with delivering production-quality software in a continuously integrated environment using test-driven development patterns.Preferred QualificationsExperience with at least one advanced deep learning topic: e.g. RL or MOT. US Salary Range $145,000 - $210,000 The salary range for this role is an estimate and is based on a wide variety of compensation factors. The salary offered to candidates will vary based on a variety of factors including (but not limited to) relevant work experience, education, specialized training, critical expertise, training, and more. Equity in Forterra is included in most of our full-time, high-demand roles and is therefore considered part of Forterra’s overall compensation package. In addition to base salary and equity, Forterra offers competitive benefits for full-time employees including:Premium Healthcare Benefits: Three plan options, including an HSA-eligible plan, with Forterra covering 80% of the plan premium for you and your dependents.  Basic Life/AD&D, short and long-term disability insurance, Legal & ID protection plans 100% covered by Forterra, plus the option to purchase additional life insurance for you and your dependents.Extremely generous company holiday calendar including a winter break in December.Competitive paid time off (PTO) offering 20 days accrued per year.A minimum of 7 weeks fully paid parental leave for birth/adoption. A $9k annual tuition reimbursement or professional development stipend.Fully stocked beverage refrigerators with all the Celsius your little heart desires. 401(k) retirement savings plan, including traditional, Roth 401(k), and after-tax deferral with company match up to 4%.Your recruiter will be able to share more information about our salary and benefits offering during the hiring process.  Forterra is an equal-opportunity employer, providing and promoting equal employment opportunity in accordance with local, state, and federal laws. Forterrans are unique, talented individuals who are united through a shared passion to deliver autonomous systems that enable national resilience and a robust supply chain. All qualified applications will receive equal consideration for employment.