Platform Control Software Engineer

Forterra Pressure Pipe, Inc.
Clarksburg, MD, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
1 year minimum
Compensation
$115,000.0 - $155,000.0
Working hours
Regular working hours
Job source

Tech stack

C++ (Programming Language) Software Debugging Machine Learning Sensor Fusion System Software

Job description

We are seeking an experienced and hands-on Platform Control Software Engineer to join our team. The ideal candidate will have a strong background in control theory, as well as a passion for developing advanced control systems for autonomous vehicles. You will be responsible for working on the platform control software that translates motion planner trajectories to drive-by-wire commands.

What You’ll Do

  • Control Systems Development.
  • Develop control software modules for vehicle actuation systems.
  • Implement control algorithms for throttle, brake, and steering to accurately follow planned trajectories.
  • Interface and integrate with body control systems, including headlights and fifth-wheel lifts.
  • Hands-On Contribution:
  • Engage directly in coding, vehicle testing, and debugging.
  • Stay actively involved in technical challenges.

Requirements

  • Mission-First Mindset - We put the needs of the mission and our customers first and understand that the US and its allies have no preordained right to victory in any future conflict.
  • Ownership Mentality - We’re looking for owners; those who have a natural bias to assume responsibility, a healthy dose of skepticism, and contribute to a culture of performance.
  • Technical Aptitude and Intellectual Curiosity - We are first and foremost a technology company, working at the leading edge of capabilities like machine learning, autonomy, distributed networking, and multimodal sensor fusion.
  • Structured Thinker and Problem Solver - Working with technical programs requires clear communication and well-thought-out plans. A solution-driven approach, the ability to distill complexity into its essential, digestible components, and the ability to supervise execution are critical to ensure mission success., * Minimum of 1-2 years of experience in control systems engineering.
  • Experience in a fast-paced startup environment is highly preferred.
  • Experience with real-world controls experience in automotive, aerospace, or related field is preferred
  • Strong background in control theory and control systems design.
  • Proficiency in programming languages such as C++
  • Experience with vehicle dynamics and actuation systemss, * Strong product mindset with a focus on delivering customer value.
  • Excellent problem-solving abilities and attention to detail.
  • Exceptional communication and interpersonal skills.
  • Ability to work collaboratively in a cross-functional team environment.

Education & Experience

  • Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Robotics, Control Systems, or a related field.

Benefits & conditions

$115,000-$155,000

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 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%.

About the company

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., 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dice.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

4:18 min

Prioritizing communication and structural awareness over strict tool mastery

Liam Hurrel +1 · WWC 2021

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

2:35 min

Dealing with outgrown assumptions in successful software systems

Stefan Priebsch · WWC 2021

1:51 min

Mapping physical environments via extensive sensor fusion

Thomas Tomow Thomas Tomow · WWC 2025

3:51 min

Technical skills and collaborative mindsets for mobility engineering roles

Georg Kühberger +1 · LIVE

1:57 min

Evolution of machine learning algorithms and computing hardware

Alexandra Waldherr · LIVE

Videos

See all

Related articles

See all