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Operations Engineer, Industrial Engineering

Job in Long Beach, Los Angeles County, California, 90899, USA
Listing for: Relativity
Full Time position
Listed on 2025-12-31
Job specializations:
  • Engineering
    Manufacturing Engineer, Lean Manufacturing / Six Sigma
Salary/Wage Range or Industry Benchmark: 155000 - 197000 USD Yearly USD 155000.00 197000.00 YEAR
Job Description & How to Apply Below
Position: Staff Operations Engineer, Industrial Engineering

At Relativity Space, we’re building rockets to serve today’s needs and tomorrow’s breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that’s just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level.

Here, you’re not just executing tasks; you’re solving problems that haven’t been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you’re in propulsion, manufacturing, software, avionics, or a corporate function, you’ll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we’re writing together.

Now is a unique moment in time where it’s early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us.

About the Team

Our product is the factory – and Factory Engineering ensures it performs today while designing what it becomes tomorrow – designing, instrumenting, and continuously improving the systems that enable hardware to flow. We work at the core of supply chain & manufacturing planning and execution, with end-to-end responsibility for how work moves through the factory, from layout and material flow to scheduling, ergonomics, automation interfaces, and the digital workflows that tie it all together.

Our work blends operations and industrial engineering, technical program management, systems architecture, and data visibility to ensure we always know how the factory is performing – and how to make it better. We attack bottlenecks, streamline business processes, and build the operational intelligence needed to scale production rapidly and reliably.

About the Role
  • Identify, analyze, and drive improvements in safety, quality, productivity, logistics, and ergonomics using data, simulations, and Lean Six Sigma methods.
  • Lead cross-functional initiatives to design and implement operational standards, capacity plans, factory/warehouse layouts, and material flow strategies.
  • Develop and maintain operational metrics, dashboards, and audit tools to monitor and improve performance across manufacturing and distribution.
  • Create standard operating procedures and workflow designs that enhance workforce efficiency while ensuring compliance with safety and ergonomic standards.
  • Recommend and execute system and process enhancements, including automation and data integrity improvements, to support scalable operations.
About You
  • Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, Operations Research, Supply Chain, or related field.
  • 5 years of industrial engineering experience, with strong expertise in capacity planning, factory/warehouse optimization, operations management, and project leadership.
  • Proficient in Lean, Six Sigma, and problem-solving methodologies (e.g., A3, 8D, root cause analysis).
  • Skilled in data analysis using Excel, SQL, and visualization tools (e.g., Tableau or equivalent); familiarity with 2D/3D design tools and simulation software like Flex Sim.
  • Excellent communication, leadership, and change management skills with the ability to influence across business and technical teams.
Nice to haves but not required
  • Experience with MRP/ERP systems and advanced analytics (e.g., machine learning, predictive modeling).
  • Background in logistics, distribution, or high‑complexity assembly‑driven manufacturing environments.
  • Hands‑on experience designing and optimizing automated systems or data capture processes.
  • Familiarity with MODAPTS, MOST, or other labor and time study strategies
  • Strong ability to tackle ill‑defined problems and deliver effective, scalable solutions.

At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job‑related factors. Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more!

To see some of the benefits & perks we offer, please visit

Hiring Range:$155,000—$197,000 USD

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need a reasonable accommodation, please contact us at .

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