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Embedded Ai Engineer Jobs in Redmond, WA (NOW HIRING)

AI Engineer III - Blue Ring

Seattle, WA · On-site

$65.50 - $88/hr

We are seeking an AI Engineer III to join the Blue Ring software team ... You will help develop and deliver the AI and machine learning capabilities embedded in Blue Ring ...

AI Engineer III - Blue Ring

Seattle, WA

$65.50 - $88/hr

We are seeking an AI Engineer III to join the Blue Ring software team ... You will help develop and deliver the AI and machine learning capabilities embedded in Blue Ring ...

Embedded Software Engineer

Mukilteo, WA · On-site

$147.70K - $194.30K/yr

Products are designed from the outset for modern, AI-driven autonomy and CMOSS and SOSA-aligned ... We are looking to hire an Embedded Software Engineer who wants to get involved with a small, fast ...

Embedded Software Engineer

Mukilteo, WA · On-site

$147.70K - $194.30K/yr

Products are designed from the outset for modern, AI-driven autonomy and CMOSS and SOSA-aligned ... We are looking to hire an Embedded Software Engineer who wants to get involved with a small, fast ...

Embedded Software Engineer

Mukilteo, WA · On-site

$147.70K - $194.30K/yr

Products are designed from the outset for modern, AI-driven autonomy and CMOSS and SOSA-aligned ... We are looking to hire an Embedded Software Engineer who wants to get involved with a small, fast ...

Embedded Software Engineer

Mukilteo, WA

$147.70K - $194.30K/yr

Products are designed from the outset for modern, AI-driven autonomy and CMOSS and SOSA-aligned ... We are looking to hire an Embedded Software Engineer who wants to get involved with a small, fast ...

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Showing results 1-20

Embedded Ai Engineer information

See Redmond, WA salary details

$78.4K

$171.8K

$194.9K

How much do embedded ai engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for embedded ai engineer in Redmond, WA is $171,782.00, according to ZipRecruiter salary data. Most workers in this role earn between $147,300.00 and $193,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Embedded AI Engineer, and why are they important?

To thrive as an Embedded AI Engineer, you need expertise in embedded systems, AI/ML algorithms, programming languages like C/C++ and Python, and typically a degree in computer engineering or a related field. Familiarity with development tools such as TensorFlow Lite, ONNX, embedded Linux, and microcontroller platforms is essential, along with experience deploying AI models on resource-constrained devices. Strong problem-solving, collaboration, and communication skills help you work effectively in multidisciplinary teams and address real-world challenges. These skills ensure efficient integration of AI into embedded systems, enabling innovative, high-performance solutions for edge computing.

How does an Embedded AI Engineer typically collaborate with hardware and software teams during a project?

Embedded AI Engineers work closely with both hardware and software teams to ensure AI models are efficiently integrated into resource-constrained devices. They often collaborate with hardware engineers to optimize model performance based on device limitations like memory and processing power. At the same time, they coordinate with software developers to design efficient firmware and manage data pipelines. Regular cross-functional meetings and code reviews are common to address integration challenges and maintain alignment throughout the project lifecycle.

What is an Embedded AI Engineer?

An Embedded AI Engineer is a professional who designs, develops, and implements artificial intelligence (AI) algorithms and models directly onto embedded systems, such as microcontrollers or edge devices. Their work involves optimizing AI solutions to run efficiently on hardware with limited computing resources, power, and memory. They collaborate with hardware engineers and software developers to integrate machine learning, computer vision, or other AI functionalities into products like smart appliances, autonomous vehicles, or IoT devices. Their expertise helps bring intelligent features directly to devices, enabling real-time decision-making without needing constant cloud connectivity.

What is the difference between Embedded Ai Engineer vs Machine Learning Engineer?

CriteriaEmbedded Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related; knowledge of embedded systemsBachelor's or Master's in Computer Science, Data Science, or related; strong programming skills
Work EnvironmentEmbedded systems, IoT devices, hardware integrationData centers, cloud platforms, software development environments
Employer & Industry UsageConsumer electronics, automotive, IoT companiesTech firms, startups, research institutions
Common Search & ComparisonYesNo

Embedded Ai Engineers focus on integrating AI algorithms into embedded hardware and IoT devices, requiring knowledge of hardware constraints and embedded programming. Machine Learning Engineers develop models primarily for software applications and data analysis. While both roles involve AI, Embedded Ai Engineers specialize in hardware-software integration within embedded systems, whereas Machine Learning Engineers work on developing and deploying AI models in software environments.

What are popular job titles related to Embedded Ai Engineer jobs in Redmond, WA? For Embedded Ai Engineer jobs in Redmond, WA, the most frequently searched job titles are:
What job categories do people searching Embedded Ai Engineer jobs in Redmond, WA look for? The top searched job categories for Embedded Ai Engineer jobs in Redmond, WA are:
What cities near Redmond, WA are hiring for Embedded Ai Engineer jobs? Cities near Redmond, WA with the most Embedded Ai Engineer job openings:
AI Engineer II - Blue Ring

AI Engineer II - Blue Ring

Blue Origin

Seattle, WA

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Blue Origin rating

8.7

Company rating: 8.7 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

12th of 59 rated aerospace companies


Job description

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!

The role is part of the In-Space Systems business unit, which is focused on addressing two of the most compelling challenges in spaceflight today: space infrastructure and increasing mobility on-orbit.

Blue Ring is Blue Origin's multi-mission space mobility platform, and this team is building the next generation of intelligent ground systems that will redefine how satellite fleets are operated-moving beyond manual monitoring and reactive processes.

We are seeking an AI Engineer II to join the Blue Ring software team. You will contribute to the AI and machine learning capabilities embedded in Blue Ring's ground system, spanning multi-agent monitoring, conversational knowledge retrieval, and ML-driven anomaly detection that empower satellite operations at fleet scale. In this role, you will help build agent tooling, maintain RAG knowledge pipelines, develop telemetry ML models, and support production AI services that operators rely on daily.

Role and Responsibilities:

As a member of the Blue Ring AI/ML engineering team, you will contribute to the AI/ML systems that form the intelligence layer for Blue Origin's satellite fleet operations. Working alongside senior engineers, you will help build, test, and deploy the agents, knowledge pipelines, and ML models that reduce operator cognitive burden and enable fleet-scale management. You will be expected to:

Multi-Agent System Development:

  • Implement and test agent components within the multi-agent architecture for telemetry analysis, anomaly detection, and reporting
  • Build and maintain integrations that connect agents to ground system services
  • Develop agent tooling, prompt templates, and orchestration logic for LLM service integrations
  • Build and maintain RAG pipeline components including document ingestion, embedding generation, and vector database indexing
  • Implement retrieval strategies and answer generation workflows for operator queries
  • Implement components for human-in-the-loop decision workflows, including investigation packages and remediation options
  • Deploy and maintain containerized AI services using Docker and AWS infrastructure
  • Contribute to audit trail, observability systems, and production operations including incident response

Model Development (Post-training and Time-series Analysis):

  • Prepare and transform spacecraft telemetry data for ML model training
  • Assist in training and evaluating anomaly detection and time-series forecasting models on telemetry data
  • Support automated model retraining pipelines that incorporate new flight data and operator feedback
  • Develop model evaluation scripts and metrics tracking

Required Qualifications:

  • Able to work onsite in one of our Kent, WA, Renton, WA, or Reston, VA offices.
  • Bachelor's degree in Computer Science, Machine Learning, Electrical Engineering, or a related field
  • 3+ years of professional software development experience with exposure to AI/ML applications
  • Proficiency in Python and familiarity with at least one AI/ML framework (PyTorch, TensorFlow)
  • Experience with building or contributing to LLM-based applications, RAG pipelines, or agent-based systems
  • Exposure to time-series data processing, anomaly detection, or ML model training on sensor or telemetry data
  • Experience with cloud platforms (AWS preferred), containerization (Docker), and basic CI/CD practices
  • Solid understanding of CS fundamentals: data structures, algorithms, object-oriented design, and version control
  • Strong analytical and problem-solving skills with attention to detail
  • Good written and verbal communication skills for documentation and team collaboration

Preferred Qualifications:

  • Experience with AWS Bedrock, SageMaker, or equivalent managed AI/ML services
  • Experience with Databricks or similar platforms for data engineering and ML workflows
  • Familiarity with vector databases (e.g., Pinecone, pgvector, FAISS) and embedding model pipelines
  • Experience with time-series ML architectures (RNNs, LSTMs, Transformers) for forecasting or anomaly detection
  • Exposure to multi-agent system frameworks or agentic AI orchestration patterns
  • Familiarity with spacecraft operations, satellite telemetry, or aerospace engineering concepts
  • Experience with infrastructure-as-code tools (Terraform) and Kubernetes
  • Experience with real-time data streaming systems (Kafka, Kinesis)
  • Familiarity with reinforcement learning concepts or graph neural network applications
  • Interest or experience in model compression, edge deployment, or resource-constrained inference

Compensation Range for:

WA applicants is $134,961.00 - $188,945.40

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 (CDL drivers only), 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 atEEOCompliance@blueorigin.com. Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.


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About Blue Origin

Sourced by ZipRecruiter

Blue Origin is a private aerospace manufacturing and suborbital spaceflight services company based in Kent, Washington, USA. Established in 2000 by Amazon founder Jeff Bezos, the company operates in the cutting-edge aerospace industry aiming to build a future where millions of people can live and work in space. They develop a variety of technologies, with a focus on reusable rocket systems which significantly reduce the cost of space travel. Blue Origin's core mission is to make this vision come to life by incrementally building on its successes with an ultimate vision of dramatic cost reduction and increased reliance on reusable spacecraft.

Industry

Space research administration

Company size

1,001 - 5,000 Employees

Headquarters location

Kent, WA, US

Year founded

2000