Perception Software Engineer - ML Ops

About Forterra

Forterra 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 role

• Forterra is actively looking for an experienced machine learning engineer to join our perception team. In this role, you will contribute to the development of cutting-edge perception solutions for autonomous systems working with heterogeneous sensors to tackle both structured on-road mobility and unstructured off-road mobility. The ideal candidate should possess a robust skill set, particularly in crafting high performance machine learning models and maintaining those models through real-world deployment life cycles. 

What you'll do

• Work cross functionally to support the exploration and development of new state-of-the-art perception models
• Support on-going model lifecycle developments
• Maintain and improve our existing model training, testing and deployment infrastructure

Required Qualifications

• Strong programming experience in Python
• Experience developing modern machine learning algorithms for perception tasks 
• Experience with developing and maintaining machine learning models in real world environments
• Experience with containerization tools
• Strong experience working on a software development team
• Ability to write clean, maintainable code and documentation

Preferred Qualifications

• Background in cloud infrastructure and AWS in particular
• Experience with NVIDIA Jetson family of devices
• Experience with modern data workflow management frameworks like apache airflow, argo, or metaflow
• Experience with machine learning frameworks like pytorch 
• Experience in production robotics is a plus

Education

• BS in computer science or a related field, or equivalent amount of relevant industry experience
• 3+ years of industry experience

US Salary Range
 
 $115,000—$190,000 annually.

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.