You'll work at the intersection of cloud infrastructure, industrial automation, and software architecture-designing systems that enable our controls and machine learning engineers to develop, test ...
You'll work at the intersection of cloud infrastructure, industrial automation, and software architecture-designing systems that enable our controls and machine learning engineers to develop, test ...
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Motional's onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional's next-generation on ...
Senior Embedded Software Engineer
Las Vegas, NV · On-site
$149K - $198K/yr
Motional's onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional's next-generation on ...
Senior Embedded Software Engineer
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$149K - $198K/yr
Motional's onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional's next-generation on ...
Quick apply
Senior Embedded Software Engineer
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Overview We're hiring an experienced and motivated Senior Software Developer in our National ... Use machine learning, natural language processing, OCR, automation, Generative AI, and model ...
Overview We're hiring an experienced and motivated Senior Software Developer in our National ... Use machine learning, natural language processing, OCR, automation, Generative AI, and model ...
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Senior Embedded Controls & Signal Processing Engineer Job ID: 27762144 Location: Las Vegas, NV ... and machine learning (ML). Our expertise enables us to quickly prototype and implement ...
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Senior Machine Learning Software Engineer information
What is the difference between Senior Machine Learning Software Engineer vs Data Scientist?
| Aspect | Senior Machine Learning Software Engineer | Data Scientist |
|---|---|---|
| Credentials | Bachelor's or Master's in CS, ML, or related; experience with ML frameworks | Bachelor's or Master's in Data Science, Statistics, or related; strong analytical skills |
| Work Environment | Develops ML models, integrates algorithms into products, collaborates with engineering teams | Analyzes data, builds statistical models, visualizes insights, collaborates with business teams |
| Industry Usage | Tech, finance, healthcare, e-commerce | Research, finance, marketing, healthcare |
While both roles involve working with data and algorithms, Senior Machine Learning Software Engineers focus on developing and deploying scalable ML models within software systems, whereas Data Scientists primarily analyze data to generate insights and inform business decisions.
What are the key skills and qualifications needed to thrive as a Senior Machine Learning Software Engineer, and why are they important?
What is a Senior Machine Learning Software Engineer?
What are some common challenges Senior Machine Learning Software Engineers face when deploying models to production?
- Quantum Machine Learning Engineer
- Virtual Aws Machine Learning
- Senior Prompt Engineering
- Gpu Engineer Salary
- No Experience Nvidia Machine Learning
- Remote Machine Learning Ops Engineer
- Freelance Google Machine Learning Engineer
- Senior Staff Machine Learning Engineer
- Contractual Machine Learning Government
- Llm Training
Job description
Staff Software Engineer, Factory Automation
We are seeking a StaffSoftware Engineer, Factory Infrastructure to join us as we build the next generation of deployment and simulation infrastructure for our factory control systems. This role will be instrumental in designing and implementing cloud infrastructure, establishing software architecture patterns, and creating robust testing environments for our Beckhoff PLC-based factory control system. You'll work at the intersection of cloud infrastructure, industrial automation, and software architecture-designing systems that enable our controls and machine learning engineers to develop, test, and deploy factory automation solutions with confidence. This is an opportunity to build foundational infrastructure that will scale with our rapidly growing manufacturing operations while mentoring engineers across multiple disciplines.Â
Responsibilities will include:Â
- Design and implement AWS infrastructure using the Cloud Development Kit (CDK), establishing patterns and best practices for infrastructure as codeÂ
- Architect application systems and provide software architecture guidance for applications built by machine learning engineers and controls engineersÂ
- Lead the design and development of deployment and simulation infrastructure for our Beckhoff PLC-based factory control system, including comprehensive testing environments and CI/CD pipelinesÂ
- Create documentation, tools, and training materials to help controls engineers effectively use the simulation and test ecosystemÂ
- Collaborate with cross-functional teams to gather requirements, mentor engineers on best practices, and participate in technical planning for long-term infrastructure strategyÂ
Qualifications:
- B.S. or advanced degree in Software Engineering, Computer Science, or another discipline with significant relevant work experienceÂ
- Minimum 5+ years of software development experience with demonstrated expertise in infrastructure, systems design, and AWS services (preferably using AWS CDK)Â
- Experience designing and implementing deployment pipelines, testing frameworks, and simulation environments; familiarity with industrial control systems or PLCs is a plusÂ
- Strong understanding of software architecture patterns with ability to provide technical guidance to engineers from diverse backgroundsÂ
- Excellent communication skills, self-motivated attitude, and a passion for sustainability and making the world a better place! Â
About Redwood Materials
Sourced by ZipRecruiter
Industry
Clean energy equipment manufacturing
Company size
501 - 1,000 Employees
Headquarters location
Carson City, NV, US
Year founded
2017