True Anomaly Logo

True Anomaly

Machine Shop Production Engineer (Level III, Senior, Staff)

Posted 10 Days Ago
Be an Early Applicant
In-Office
Long Beach, CA
120K-215K Annually
Senior level
In-Office
Long Beach, CA
120K-215K Annually
Senior level
Leads machine shop production engineering for machined spacecraft components, from raw material through inspection and high-rate production. Responsibilities include manufacturing planning, CNC process optimization, equipment selection and qualification, capacity planning, first-article inspections, new-product introduction, tooling and fixture development, design-for-manufacturability reviews, quality corrective actions, supply coordination, and technical mentorship.
The summary above was generated by AI

Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.

OUR MISSION

True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.

OUR VALUES

  • Be the offset. We create asymmetric advantages with creativity and ingenuity.
  • What would it take? We challenge assumptions to deliver ambitious results.
  • It’s the people. Our team is our competitive advantage and we are better together.

YOUR MISSION

We are revolutionizing spacecraft systems and are searching for candidates passionate about hands-on engineering and advancing new technologies in space. As a Machine Shop Production Engineer, you will own the production engineering strategy and execution for machined components from receipt of raw material through final inspection. You will lead machine shop operations, documentation, capacity planning, process optimization and partner with design engineering to drive manufacturability from concept through high-rate production.  

RESPONSIBILITIES 

  • Lead machine shop operations to achieve throughput and cost objectives 
  • Create detailed manufacturing plans and work instructions to define sequence, details, and requirements for machining, inspection, heat treatment, coating, and outside processing. 
  • Lead equipment selection, installation, qualification, and maintenance activities 
  • Drive continuous improvement through process optimization, management of metrics, root cause and corrective actions, creation of standards and documentation, the management of in-process inventory and consumables. 
  • Collaborate with machinists to align on machine selection, tooling requirements, work holding, and process strategy. 
  • Lead new-product introduction, participate in first-time builds, coordinate first-article inspections and support process qualifications. 
  • Drive technical reviews with design engineering to ensure the design is optimized for machining 
  • Develop trades and solutions for tooling, fixtures, automation, and equipment 
  • Provide technical leadership and mentorship to machine shop personnel and engineers 
  • Drive engagement with Supply Chain to ensure materials are available 
  • Directly support production on the floor to ensure non-conformances are addressed 

QUALIFICATIONS 

  • Bachelor's degree in mechanical, manufacturing, aerospace engineering or related field. 
  • Experience in machine shop operations for aerospace, defense, or high-reliability systems commensurate with the level of responsibility. 
  • Extensive hands-on experience with CNC programming(Mastercam, NX, Esprit Edge, Fusion 360 or similar CAM software) 
  • Strong understanding of geometric dimensioning and tolerancing (GD&T) 
  • Experience in selecting and commissioning equipment to enable production 
  • Strong communication and collaboration skills with demonstrated ability to influence design decisions, drive cross-functional alignment, and present technical information to diverse audiences. 
  • Experience working to AS9100 process and standards.  

PREFERRED SKILLS AND EXPERIENCE 

  • Hands-on experience with CNC machining, inspection methods, mechanical assemblies, and manual fabrication methods (cutting, drilling, shaping) 
  • Experience supporting new product launches or production ramp-up 
  • Understanding of surface treatments and finishing processes 
  • Experience with manufacturing simulation and digital twin technologies 
  • Familiarity of automation, robotics, and lights-out manufacturing  
  • Familiarity with CNC controls(Fanuc, Haas, Mazak, etc.) 
  • Expert-level understanding of AS9100, PFMEA development, control plans. 
  • Experience with PLM, ERP, MES, configuration and data management systems 
  • Experience building and producing classified hardware in SCIF’s or SAP facilities 

COMPENSATION 

Base Salary: 

  • Machine Shop Production Engineer 3: $120,000-$160,000
  • Senior Machine Shop Production Engineer: $140,000-$195,000
  • Staff Machine Shop Production Engineer: $160,000-$215,000

Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. 

ADDITIONAL REQUIREMENTS

  • Work Location—Successful candidates will be located near Long Beach, CA. While we observe a hybrid work environment, some work must be done on site.
  • Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
  • Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite 

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.


Similar Jobs at True Anomaly

3 Days Ago
In-Office
150K-240K Annually
Expert/Leader
150K-240K Annually
Expert/Leader
Aerospace • Artificial Intelligence • Hardware • Machine Learning • Software • Defense • Manufacturing
Leads the strategic design and build-out of manufacturing facilities and production environments. Partners with production engineering, architects, engineers, contractors, and cross-functional teams to develop layouts, infrastructure requirements, facility standards, and master plans. Owns facilities scope from concept through commissioning while optimizing flexibility, cost, throughput, speed, safety, scalability, and quality across multiple sites.
Top Skills: CommissioningFacility Master PlanningFacility StandardsInfrastructure PlanningItarLayout DesignManufacturing Facility DesignProduction EngineeringProduction Line Design
4 Days Ago
In-Office
170K-260K Annually
Expert/Leader
170K-260K Annually
Expert/Leader
Aerospace • Artificial Intelligence • Hardware • Machine Learning • Software • Defense • Manufacturing
Deploys and operates classified terrestrial and cloud networks across on-premise, AWS GovCloud, and IL-6+ environments. Responsibilities include routing, switching, boundary protection, segmentation, encrypted communications, STIG implementation, RMF/ATO support, network documentation, and troubleshooting. The role also configures NSA Type 1 cryptographic devices, manages KEYMAT and CCI documentation, and collaborates with security, cloud, and engineering teams. An active Secret clearance and ability to obtain TS/SCI are required, with occasional travel to government and classified facilities.
Top Skills: AtoAws GovcloudAws Route TablesAws Security GroupsAws Transit GatewayAws VpcCross Domain SolutionsData GuardsDisa StigsDod Approved Products ListsIp NetworkingKg-142Kg-175 TaclaneAzureNetwork AclsNetwork Boundary ProtectionNist Sp 800-53Nsa Type 1 CryptographyQosRmfRouting ProtocolsSoftware Defined NetworkingSwitchingTrade Agreements ActVlansZero Trust Networking
5 Days Ago
In-Office
205K-315K Annually
Senior level
205K-315K Annually
Senior level
Aerospace • Artificial Intelligence • Hardware • Machine Learning • Software • Defense • Manufacturing
Leads and grows a perception AI engineering team building autonomous spacecraft capabilities, including synthetic data generation, multi-target tracking, sensor fusion, camera calibration, object detection, and edge deployment. Provides technical direction, defines validation standards, owns the team roadmap, coordinates cross-functional delivery, manages hiring and development, and ensures reliable performance under spacecraft compute, power, and operational constraints.
Top Skills: BlenderComputer VisionDeep LearningEdge AiEmbedded SystemsFaster R-CnnGenerative AiHardware-In-The-Loop TestingKalman FilteringMulti-Object TrackingOnnxSensor FusionSynthetic Data GenerationTensorrtUnreal EngineVision TransformersYolo

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account