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Rl Controls Jobs in Oregon (NOW HIRING)

... established controls across multiple systems (including Workday, UKG, ADP GlobalView and ... Responsible for timely and accurate ROE submissions assisting with T4 reconciliation and RL-1 ...

Manage year-end payroll processes, including T4, RL-1, W-2, 1099, and audit support. Team ... Develop and maintain payroll process maps, internal controls, and documentation. Employee Support

Manage year-end payroll processes, including T4, RL-1, W-2, 1099, and audit support. Team ... Develop and maintain payroll process maps, internal controls, and documentation. Employee Support

Manage year-end payroll processes, including T4, RL-1, W-2, 1099, and audit support. Team ... Develop and maintain payroll process maps, internal controls, and documentation. Employee Support

Manage year-end payroll processes, including T4, RL-1, W-2, 1099, and audit support. Team ... Develop and maintain payroll process maps, internal controls, and documentation. Employee Support

Rl Controls information

What is the difference between Rl Controls vs Electrical Controls Technician?

AspectRl ControlsElectrical Controls Technician
CertificationsTypically requires PLC programming, control system certificationsRequires electrical certifications, such as NICET or electrical trade licenses
Work EnvironmentIndustrial automation, manufacturing plants, control system installationIndustrial, commercial, or manufacturing settings focusing on electrical systems
Job ResponsibilitiesDesign, troubleshoot, and program control systems and PLCsInstall, maintain, and repair electrical control panels and systems

Rl Controls and Electrical Controls Technicians both work in industrial environments and require knowledge of control systems. Rl Controls specialists focus more on programming and system integration, while Electrical Controls Technicians handle electrical wiring and hardware. Both roles are essential in automation and manufacturing industries, often overlapping but with distinct technical focuses.

What are the key skills and qualifications needed to thrive as an RL Controls Engineer, and why are they important?

To thrive as an RL Controls Engineer, you need a solid background in control systems engineering, robotics, and automation, usually supported by a degree in electrical, mechanical, or mechatronics engineering. Familiarity with PLC programming, SCADA systems, HMI software, and relevant certifications like Siemens or Allen-Bradley are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in troubleshooting and collaborating with cross-functional teams. These skills and qualifications ensure the safe, efficient, and reliable operation of automated systems in industrial environments.

What are 'RL Controls'?

'RL Controls' typically refers to Reinforcement Learning (RL) Controls, which involve using reinforcement learning algorithms to design controllers that optimize the behavior of dynamic systems. In this field, agents learn to make decisions by interacting with environments to maximize cumulative rewards or minimize costs over time. RL Controls are increasingly used in robotics, autonomous vehicles, industrial automation, and other areas where adaptive, data-driven control strategies are valuable. Professionals in this area need a strong foundation in control theory, machine learning, and programming.

What are some common challenges faced by RL Controls Engineers when integrating new automation systems into existing manufacturing environments?

RL Controls Engineers often encounter challenges such as ensuring compatibility between new automation systems and legacy equipment, minimizing downtime during integration, and troubleshooting unforeseen issues during commissioning. Collaboration with cross-functional teams, including mechanical, electrical, and IT departments, is crucial to address these challenges effectively. A proactive approach to documentation and thorough testing helps ensure a smooth transition and long-term reliability of the control systems.
What are popular job titles related to Rl Controls jobs in Oregon? For Rl Controls jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Rl Controls jobs? Cities in Oregon with the most Rl Controls job openings:

Senior AI Software Engineer, AI Controls

Agility Robotics

Salem, OR โ€ข On-site

$187K - $292K/yr

Full-time

Posted 5 days ago


Job description

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.

Agility is a pioneer. Our robot, Digit, is the first to be sold into workplaces across the globe. Our team is differentiated by its expertise in imagining, engineering, and delivering robots with advanced mobility, dexterity, intelligence, and efficiency -- robots specifically designed to work alongside people, in spaces built for people. Every day, we break through engineering challenges and invent new solutions and capabilities that will one day make robots commonplace and approachable. This work is our passion and our responsibility: our mission is to make businesses more productive and people's lives more fulfilling.

Why Join Now

Digit is one of the only humanoid robots deployed in real customer facilities today—at Schaeffler, GXO, Toyota Motor Manufacturing Canada, and Mercado Libre, with 65,000+ hours of real-world operation logged. In June 2026 we announced plans to become the first pure-play humanoid robotics company to trade publicly (ticker AGLT), in a ~$2.5B merger backed by NVIDIA, Amazon, SoftBank Vision Fund 2, and Foxconn. With $300M+ in orders for Digit and a factory built for 10,000 robots a year, we're scaling fast—and the policies you build will ship to robots working alongside people in production, not sit in simulation.

About the Role

The AI Controls team builds high-rate learned controllers that let Digit move robustly, efficiently, and safely in dynamic environments. As an AI Controls Engineer, you'll develop and deploy reinforcement learning policies across humanoid locomotion, whole-body control, and manipulation—integrating perception to enable collision-free, perceptive motion in the real world.

About The Work

  • Design, train, and deploy robust RL policies for locomotion, manipulation, whole body control, and dynamic interactions with the environment.
  • Integrate perception into RL policies to achieve obstacle-aware, collision-free motion, and perceptive manipulation.
  • Develop and maintain core RL infrastructure, including scalable training pipelines and evaluation frameworks.
  • Design and implement new simulation environments and tasks to support training and evaluation of control policies.
  • Collaborate with on-robot software and deployment teams to ship production-quality policies to Digit.

About You

  • 4+ years of experience developing and deploying RL policies for robotics applications.
  • Strong Python skills and hands-on experience with a deep learning framework such as PyTorch.
  • Experience designing reward functions, tuning hyperparameters, and implementing exploration strategies to solve complex control tasks.
  • Experience with perception-in-the-loop control, integrating real-time sensory inputs for reactive or adaptive behaviors.
  • Proven experience deploying reinforcement learning policies on real-world bipedal or quadrupedal robots.
  • Familiarity with robot simulation environments (e.g. Mujoco-Warp, Isaac) and sim-to-real transfer.
  • A collaborative approach and the ability to deliver safe, high-quality software in a fast-paced environment.

Bonus Qualifications

  • Advanced degree (MS or PhD) in Robotics, Computer Science, or a related field.
  • Experience with contact-rich manipulation, including force-torque or tactile sensing.
  • Familiarity with policy distillation (e.g. teacher–student) for transferring state-based policies to perception-driven ones.
  • Publications in top ML or robotics conferences (e.g. NeurIPS, ICML, CoRL, RSS, ICRA).

This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.

Anticipated Salary Range
$187,000—$292,000 USD

In addition to base pay, our competitive total rewards package consists of the following for full-time employees:

  • 401(k) Plan: Includes a 6% company match.
  • Equity: Company stock options.
  • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
  • Benefit Start Date: Eligible for benefits on your first day of employment.
  • Well-Being Support: Employee Assistance Program (EAP).
  • Time Off:
    • Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
    • Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
  • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
  • Parental Leave: Generous paid parental leave programs.
  • Work Environment: A culture that supports flexible work arrangements.
  • Growth Opportunities: Professional development and tuition reimbursement programs.
  • Relocation Assistance: Provided for eligible roles.
  • Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.

Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.

Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.