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Remote Advanced Process Control Engineer Jobs in Boston, MA

Perform on-site and remote troubleshooting of SCADA communications, control system faults ... As part of this process, we display the required Notice of E-Verify Participation and Right to Work ...

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Remote Advanced Process Control Engineer information

See Boston, MA salary details

$57K

$107.3K

$159.7K

How much do remote advanced process control engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for remote advanced process control engineer in Boston, MA is $107,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,000.00 and $126,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Advanced Process Control Engineer, and why are they important?

To thrive as a Remote Advanced Process Control Engineer, strong expertise in process engineering, control theory, and data analysis is essential, typically supported by a degree in chemical, electrical, or control engineering. Familiarity with Distributed Control Systems (DCS), Programmable Logic Controllers (PLCs), and advanced process control software such as Aspen DMCplus or Honeywell Profit Controller is usually required. Exceptional problem-solving, remote collaboration, and communication skills help distinguish top performers in this field. These skills are vital for designing and optimizing control strategies that enhance operational efficiency, safety, and reliability in industrial environments.

How does a Remote Advanced Process Control Engineer typically collaborate with on-site teams to implement and optimize control strategies?

A Remote Advanced Process Control Engineer frequently works closely with on-site engineers, operators, and IT staff through virtual meetings, remote access tools, and shared project platforms. Communication is key, as remote engineers must clearly explain technical recommendations and work through troubleshooting steps with local personnel. Regular check-ins, detailed documentation, and screen-sharing sessions help bridge the distance, ensuring that control strategies are effectively implemented and performance improvements are tracked. Building strong relationships and maintaining responsiveness to on-site feedback are essential for remote success in this role.

What does a Remote Advanced Process Control Engineer do?

A Remote Advanced Process Control (APC) Engineer designs, implements, and optimizes control systems for industrial processes from a remote location. Their work involves developing algorithms, configuring control software, and analyzing plant data to improve efficiency, safety, and product quality. They often collaborate with onsite teams, troubleshoot issues, and ensure the control systems meet operational goals. Remote APC Engineers rely on secure networks and digital tools to monitor and adjust systems in real time, supporting industries such as oil and gas, chemicals, and manufacturing.

What is the difference between Remote Advanced Process Control Engineer vs Remote Process Control Engineer?

AspectRemote Advanced Process Control EngineerRemote Process Control Engineer
CredentialsBachelor's/Master's in Engineering, certifications in process control (e.g., CCST)Bachelor's in Engineering, certifications in process control (e.g., CCST)
Work EnvironmentIndustrial plants, automation teams, remote monitoringIndustrial plants, automation teams, remote monitoring
Industry UsageOil & gas, chemicals, manufacturingOil & gas, chemicals, manufacturing
Job FocusDesign and optimize advanced control systems, real-time monitoringImplement and maintain basic control systems, troubleshooting

The main difference is that the Remote Advanced Process Control Engineer focuses on designing and optimizing sophisticated control systems, while the Remote Process Control Engineer handles more routine control system implementation and maintenance. Both roles require similar credentials and work in comparable environments, but the advanced engineer's role involves higher-level system development and optimization.

What are popular job titles related to Remote Advanced Process Control Engineer jobs in Boston, MA? For Remote Advanced Process Control Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Advanced Process Control Engineer jobs in Boston, MA look for? The top searched job categories for Remote Advanced Process Control Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Remote Advanced Process Control Engineer jobs? Cities near Boston, MA with the most Remote Advanced Process Control Engineer job openings:

Research Scientist I/II, AI for Process Engineering

Lila Sciences

Cambridge, MA โ€ข On-site, Remote

$176K - $304K/yr

Full-time

Medical, Dental, Vision, Life

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Your Impact at LILA
As a member of our team in the Physical Sciences division, you will design and build intelligent agent-driven systems that enable AI-accelerated and AI-orchestrated process engineering across a broad range of industrial applications. The core mission of this role is to develop methods by which AI agents can reason about, design, simulate, optimize, and operate complex physical and chemical processes using existing or ML-driven process engineering tools. You will focus on creating agentic infrastructures that allow AI systems to plan and execute multi-step process engineering workflows, ranging from process synthesis and flowsheet generation to steady-state and dynamic simulation, control strategy design, and techno-economic evaluation. Your work will directly shape how Lila's scientific superintelligence performs closed-loop autonomous process engineering to solve real-world problems.
What You'll Be Building
  • Architect and implement agentic frameworks that support end-to-end process engineering workflows, including process setup, simulation, optimization, and analysis.
  • Develop AI agents capable of autonomously planning, executing, and iterating on process engineering tasks using existing tools (e.g., steady-state and dynamic simulators, optimizers, and data systems).
  • Explore agentic approaches for advanced tasks such as process intensification, control co-design, real-time optimization, and closed-loop learning from operational data.
  • Improve robustness, interpretability, and reproducibility of agent-driven process engineering workflows; build internal tooling for debugging, observability, validation, and auditability.
  • Work with interdisciplinary teams to apply agentic process engineering to a broad range of industrial applications
What You'll Need to Succeed
  • PhD or equivalent experience in Chemical Engineering, Industrial Engineering, Systems Engineering, or a closely related field.
  • Research experience in method development for process engineering, a strong publication record in this area or established industry experience
  • Hands-on experience with process simulation and optimization tools (commercial or open-source), including steady-state and dynamic modeling.
  • Proficiency in Python and scientific/engineering computing ecosystems
  • Experience integrating external engineering tools or simulators into automated workflows via APIs, scripting interfaces, or custom wrappers.
  • Familiarity with distributed systems, HPC environments, cloud platforms, or scalable compute infrastructure.
Bonus Points For
  • Experience developing or integrating agentic frameworks, autonomous planners, or multi-step tool-using AI systems for engineering or scientific domains.
  • Experience building computational pipelines, automation systems, or tool-use frameworks for complex engineering or scientific workflows.
  • Experience with digital twins, real-time optimization, or model-predictive control frameworks.
  • Background in techno-economic analysis (TEA), life-cycle assessment (LCA), or sustainability-driven process design.
  • Contributions to open-source engineering software, ML infrastructure, workflow engines, or agent frameworks.

Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Expected Base Salary Range
$176,000-$304,000 USD
About LILA
Lila Sciences is building Scientific SuperintelligenceTM to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science FactoryTM instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We're All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
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