STR

Senior Configuration Management Specialist

Woburn, MA · Senior · Full-time

No sponsorship$138k-$190kDetected 19 days ago

AlgorithmsGitCybersecuritySolidWorksSensorsResearchLeadershipCommunication

About the role

This requires establishing scalable and tailorable approaches that are appropriately applicable to programs spanning bench-top prototypes to fielded systems deployed in rugged environments.
You should have experience operating within the Arena PLM, SolidWorks PDM, and Git tools.
You need to be detail-oriented with at least 5 years of directly applicable experience supporting efforts as outlined above.

Work with stakeholders to develop and implement CM and QA related procedures and identify associated metrics to support continuous improvement. Context for these efforts will be span domains including, but not limited to, mechanical, electrical, and software.
Administer and optimize PLM/PDM environments (including Arena and SolidWorks PDM) to increase program efficiency and data integrity.
Manage and process changes to technical documentation, parts lists, drawings, and software in accordance with company and industry standards.
Support Change Control Boards (CCBs) and Failure Review Boards (FRBs).
Own Arena, SolidWorks, and Git execution as appropriate for this role.
Our programs deliver sustainable, reliable, and cost-efficient capabilities focused on end-customer needs that function in operationally relevant environments and timeframes.
We consider the entire lifecycle of the solution, from conceptualization and architecting, through development to deployment, while leveraging novel technologies to deliver first-of-a-kind systems.
You'll drive excellence and innovation across a dynamic portfolio-from prototyping through full-rate production-supporting programs with national and global significance
You will apply your expertise to directly support programs by administering CM and QA procedures as an "independent" expert but through an informed approach by being aware of program drivers.

Minimum 5 years of directly applicable experience in CM and QA and supporting government programs related to software and hardware
In-depth knowledge of CM and QA standards, particularly MIL-HDBK-61, related DoD guidelines, and industry standards related to software and hardware, e.g., IPC
Background should include a Bachelor's degree and at least 5 years of applicable experience.
Expert-level experience with Arena PLM and SolidWorks PDM

Active Secret or Top-Secret security clearance
We specialize in advanced research and development for defense, intelligence, and national security in: cyber
next generation sensors, radar, sonar, communications, and electronic warfare
and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us.
STR is not just any company.
Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world.
We can't do it alone, though - we need fellow trailblazers.
If you are one, join our team and help to keep our society safe!

The salary range listed is based on external market data.
STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA.
Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer.
STR is not just any company.
Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world.
We can't do it alone, though - we need fellow trailblazers.

STR is focused on delivering National Defense capabilities by driving mission-focused strategies to develop advanced technology systems enabling products and solutions focused on achieving the customer vision.

If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info.

This listing is sourced directly from STR's careers page and normalized into a canonical job model.