Blue Origin Logo

Blue Origin

Sr. Autonomous Manufacturing Systems Engineer

Posted 10 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in CA
Senior level
In-Office or Remote
Hiring Remotely in CA
Senior level
Develop and operate machine learning systems for automated manufacturing. Responsibilities include building scalable data and model infrastructure, automating ML pipelines, deploying models to production and edge devices, monitoring performance, optimizing latency, integrating AI/ML tools, managing incidents, ensuring security and privacy, and collaborating with automation engineers, data scientists, data engineers, and software teams.
The summary above was generated by AI

Application close date:

Applications will be accepted on an ongoing basis until the requisition is closed.

At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight!  

This role is part of Blue Origin Operations, which is comprised of Integrated Supply Chain, Test Operations, Safety, Quality, and Mission Assurance. This includes Manufacturing and Supply Chain support across all Blue Origin facilities.

We are a world leading Manufacturing Automation organization that is revolutionizing manufacturing at Blue Origin. By blending proven and cutting edge manufacturing technologies with a relentless drive to develop, deploy and support high quality systems, we are enabling Blue Origin to realize our vision of millions of people living and working in space for the benefit of Earth.

Our team is looking for outstanding, highly motivated Software Engineers (AI/ML Ops) to join our Automation Team. This role requires an individual with a deep understanding of software development as well as automated manufacturing processes and systems, including industrial automation hardware and software. AI will unlock the true potential of manufacturing automation, you will join our team of automation development engineers, working directly with them to embed value-add AI in systems we create.

We are looking for someone to apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight. Passion for our mission and vision is required!

Responsibilities include but are not limited to:
  • Work directly with the automation engineering team to develop and implement strategies for seamless deployment of machine learning models into our automation products.

  • Complete the operational aspects of AI and machine learning projects, ensuring robust and scalable deployment.

  • Build and maintain the infrastructure required for efficient data processing, model training, and inference at scale.

  • Set up and manage monitoring systems to ensure the performance, reliability, and scalability of AI/ML models in production.

  • Automate the end-to-end machine learning pipeline, including data collection, preprocessing, model training, deployment, and monitoring.

  • Work closely with data scientists, data engineers, and software engineers to streamline the workflow from development to production.

  • Ensure that AI/ML systems comply with security standards and best practices, addressing data privacy and protection concerns.

  • Conduct performance tuning, troubleshooting, and optimization of AI and ML models to improve efficiency and reduce latency.

  • Evaluate, select, and integrate appropriate tools and frameworks for model training, deployment, and monitoring (e.g., MLflow, Kubeflow, TensorFlow Extended).

  • Maintain comprehensive documentation of processes, configurations, and performance metrics of deployed AI/ML models.

  • Foster a culture of continual improvement by staying updated with the latest advancements in AI/ML Ops and implementing best practices.

  • Develop and implement incident response plans to address and mitigate issues with deployed models promptly.

  • Plan and implement strategies for scaling AI/ML models to handle increased demand and larger datasets.

  • Proactively propose new solutions and enhancements leveraging AI/ML to address business challenges and improve operational efficiency.

  • Work with cross-functional teams to incorporate AI/ML insights into broader business strategies and processes.

Preferred Qualifications:
  • Bachelor’s or higher in Computer Science, Software Engineering, Mechanical Engineering or a related field.

  • 8+ years of professional software development experience, with a significant focus on real world machine learning deployments using vision and/or time-series data.

  • Extensive experience with AI and machine learning tools and frameworks, such as TensorFlow, PyTorch, or similar.

  • Familiarity with manufacturing automation, including robotics, PLC's, automated NDT, and machine vision.

  • Experience with AI edge deployments and integration into OT devices (e.g. Simatic NPU).

  • Experience with serverless computing frameworks and technologies.

  • Familiarity with software development in agile and scrum environments.

  • Experience with database management systems, both SQL and NoSQL (e.g., PostgreSQL, MongoDB).

  • Strong analytical and problem-solving skills with attention to detail.

  • Excellent written and verbal communication skills for clear documentation and cross-team collaboration.

  • Ability to innovate and adapt to rapidly changing technologies and environment

  • Ability to earn trust, maintain positive and professional relationships, and contribute to a culture of inclusion.

  • Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.


 

Base Pay Range for:

CA applicants is $197,529.00 - $276,539.55

Other site ranges may differ


Culture Statement

Don’t meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.


Export Control Regulations

Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.


Background Check

  • Required for all positions: Blue’s Standard Background Check
  • Required for Certain Job Profiles:  Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation
  • Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing, vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training.
  • Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical

Benefits

  • Benefits include:  Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.
  • Stock Options for all regular employees (working at least 20 hours/week)
  • Paid Time Off:  Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.
  • Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details.

Equal Employment Opportunity

Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on “Know Your Rights,” please see here.


Affirmative Action and Disability Accommodation

Applicants wishing to receive information on Blue Origin’s Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at [email protected]. Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.


Similar Jobs

2 Days Ago
Easy Apply
Remote
Canada
Easy Apply
Senior level
Senior level
Cloud • Security • Software • Cybersecurity • Automation
Conduct advanced application security research across GitLab’s DevSecOps and AI-powered platforms. Identify and exploit novel, systemic, and chained vulnerabilities; develop proof-of-concept exploits, testing methodologies, and research automation; assess AI attack vectors and open-source dependencies; drive remediation and security improvements; advise engineering teams, contribute to roadmaps, mentor researchers, and share findings with the security community.
Top Skills: Duo Agent PlatformGitlabGitlab DuoGoPythonRubyRustTypescript
2 Days Ago
Easy Apply
Remote
Canada
Easy Apply
Expert/Leader
Expert/Leader
Cloud • Security • Software • Cybersecurity • Automation
Conducts advanced application security research across GitLab’s DevSecOps and AI-powered platforms. Responsibilities include discovering and exploiting systemic vulnerabilities, penetration testing, developing proof-of-concept exploits, researching AI and agentic security threats, building automated research tooling, coordinating remediation, mentoring security professionals, and communicating findings to engineering and security communities.
Top Skills: Ai FrameworksDevsecopsDuo Agent PlatformGitlabGitlab Duo ChatGoPythonRubyRustTypescript
2 Days Ago
Remote or Hybrid
Canada
Senior level
Senior level
Automotive • Professional Services • Software • Consulting • Energy • Chemical • Renewable Energy
Design and coordinate electrical systems for commercial, industrial, laboratory, and technical facilities from concept through construction. Lead Revit/BIM-based design, coordinate external engineering firms and vendors, review documentation, support budgeting and commissioning, and maintain design intent. Provide expertise in power distribution, lighting, low-voltage systems, equipment integration, safety compliance, facility troubleshooting, and energy-efficient building systems.
Top Skills: AutocadBimBluebeamBuilding Automation Systems (Bas)Electrical EquipmentFire Alarm SystemsHvac ControlsLighting SystemsLow-Voltage SystemsMs ProjectNecNfpaOshaPower Distribution SystemsRevit

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account