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Senior Embedded Machine Learning Jobs in Oregon (NOW HIRING)

Nvidia

Senior Compiler Engineer - AI

OR · On-site +1

$122K - $161K/yr

The ideal candidate brings broad experience across machine learning, including reinforcement ... Proven track record of deploying AI/ML solutions in production and embedded environments. Strong ...

Natera

Senior Bioinformatics Scientist

OR · On-site +1

Natera is seeking a Senior Bioinformatics Scientist to join our Bioinformatics Research team and ... Develop, train, and evaluate machine learning models, driving algorithm design decisions that ...

SOSi

Senior Data Scientist

OR · On-site +1

SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach ... Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ...

SOSi

Senior Data Scientist

OR · On-site

SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach ... Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ...

OneStudyTeam

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

As a Senior Data Scientist , you will play a pivotal role in advancing Reify Health's data-driven ... In this position, you will drive the development of statistical models and machine learning ...

Deloitte

Senior AI Engineer - SFL Scientific

Portland, OR · On-site

$110K - $152K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Instacart

Senior Software Engineer, Digital Twin Platform

OR · On-site +1

$122K - $161K/yr

We are looking for a highly motivated Senior Software Engineer to join our team. You will be ... In close collaboration with machine learning engineers, computer vision engineers, product teams ...

Blue Space Technologies Inc

Be Seen First

Senior SAP AI Developer

OR · On-site

$65 - $70/hr

Senior SAP AI Developer- Remote We are looking for a highly skilled Senior SAP AI Developer to ... This role will leverage Generative AI, Machine Learning, Agentic AI, SAP BTP and enterprise data ...

New

Blue Space Technologies Inc

Be Seen First

Senior SAP AI Developer

OR · On-site

$65 - $70/hr

Senior SAP AI Developer- Remote We are looking for a highly skilled Senior SAP AI Developer to ... This role will leverage Generative AI, Machine Learning, Agentic AI, SAP BTP and enterprise data ...

New

Pwc

CTIO - AI Engineer- Senior Manager

Portland, OR

$91K - $321K/yr

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

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All JobsEmbedded Machine Learning JobsSenior Embedded Machine Learning JobsSenior Embedded Machine Learning Jobs in Oregon

Senior Embedded Machine Learning information

What does a senior embedded machine learning engineer do?

A Senior Embedded Machine Learning engineer designs, develops, and optimizes machine learning models to run efficiently on resource-constrained embedded devices such as microcontrollers, IoT devices, and edge hardware. They are responsible for integrating ML algorithms with embedded systems, ensuring low latency and minimal power consumption. Their work often involves collaborating with hardware engineers and software developers to deploy intelligent features in products like smart sensors, wearables, and autonomous systems.

What are the key skills and qualifications needed to thrive as a senior embedded machine learning engineer?

To thrive as a Senior Embedded Machine Learning Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often backed by an advanced degree in computer science or electrical engineering. Familiarity with tools such as TensorFlow Lite, ONNX, and embedded hardware platforms (e.g., ARM Cortex-M, NVIDIA Jetson) is typically required. Strong problem-solving, project management, and communication skills distinguish top performers in this role. These capabilities are crucial for efficiently deploying optimized machine learning models on resource-constrained devices and effectively collaborating across multidisciplinary teams.

What are some common challenges faced by senior embedded machine learning engineers when deploying models on edge devices?

Senior Embedded Machine Learning Engineers often encounter challenges such as optimizing model size and inference speed to fit within the limited computational resources and memory of edge devices. Balancing accuracy and performance while minimizing power consumption is critical, especially for battery-operated products. Additionally, integrating models with existing embedded software and ensuring reliable, real-time operation can require close collaboration with hardware and firmware teams. Staying current with advancements in model compression and hardware acceleration is also essential for success in this role.

What is the difference between Senior Embedded Machine Learning vs Embedded Software Engineer?

AspectSenior Embedded Machine LearningEmbedded Software Engineer
Required CredentialsBachelor's/Master's in CS, EE, or related; experience in ML and embedded systemsBachelor's in CS, EE, or related; strong programming skills in C/C++
Work EnvironmentDeveloping ML models for embedded devices, hardware integrationDesigning and implementing embedded software for devices
Industry UsageAI/ML-focused companies, IoT, consumer electronicsAutomotive, industrial, consumer electronics

While both roles involve embedded systems, Senior Embedded Machine Learning focuses on integrating ML models into hardware, requiring knowledge of AI and data science. Embedded Software Engineers primarily develop software for embedded devices, emphasizing firmware and system-level programming. The roles overlap in embedded environment skills but differ in their core focus on AI versus traditional software development.

What cities in Oregon are hiring for Senior Embedded Machine Learning jobs?

Cities in Oregon with the most Senior Embedded Machine Learning job openings:

Senior Embedded Machine Learning jobs near you

Senior Staff AI Software Engineer, Perception

Salem, OR • On-site, Remote

Agility Robotics
Industrial Automation Equipment Manufacturing • 51 - 200 employees
Learn more about Agility Roboticsexternal

$238K - $372K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers-tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
Agility Robotics builds Digit, the world's first commercially deployed humanoid robot - already at work in real warehouses and manufacturing facilities today. Digit has proven itself in structured work cells, and now we're pushing beyond them: into open floors, shared aisles, and dynamic spaces where people, forklifts, and other robots are all moving at once. That shift raises the bar for perception dramatically - Digit needs to reliably understand and react to an environment that's no longer predictable or controlled.
That means perception isn't just about capability - it's about trust. Every person Digit works near is counting on our perception systems to see them, understand them, and never get it wrong, whether Digit is in a fixed work cell or navigating a busy, ever-changing facility. We're looking for a Senior Staff AI Software Engineer, Perception to own the technical vision and system architecture for how Digit perceives and stays safe as we take on these more dynamic, less constrained environments.
What You'll Do
  • Own the technical vision and system architecture for Perception that enables safety and efficiency, defining how Digit will perceive and reason about humans and hazards as it expands from structured work cells into open, dynamic environments
  • Analyze key architectural tradeoffs across sensing modalities, model design, redundancy, and compute budget, balancing safety, latency, and real-world robustness
  • Stay hands-on with development to prototype, validate, or build critical pieces yourself
  • Partner with functional safety and systems engineering to define the safety case strategy, identifying what architecture and evidence will be required
  • Support failure mode and hazard analysis at the system level, shaping which risks the architecture must design around
  • Evaluate emerging research and technology, and decide what's worth adopting into future robot architectures
  • Set standards for verification and validation of ML-based perception systems, especially for rare and safety-critical scenarios
  • Collaborate across navigation, controls, and hardware to make sure the perception architecture serves the whole robot
  • Act as a senior technical mentor and partner to engineers and technical leads across the organization, and represent the architecture to executive leadership, partners, and customers as needed
What You Bring
  • 8+ years in machine learning/perception for robotics, with a track record of defining system architecture
  • Master's or Ph.D. in Artificial Intelligence, Robotics, Computer Science, or a related field, with a strong foundation in machine learning, robotics, and intelligent systems
  • Demonstrated experience architecting ML/perception systems for safety-critical or safety-rated contexts - human detection, functional safety, automotive or robotics or a comparable regulated domain
  • Deep expertise in deep convolutional neural networks, multi-object tracking, data association, supervised learning, and pose estimation, with strong intuition for where these approaches break down in unpredictable, real-world conditions
  • Experience making system-level tradeoffs across sensing modalities, redundancy, and compute constraints on embedded/real-time hardware
  • A track record of setting technical direction at an organization level
  • Publications in your field are a plus (CVPR, ICCV, RSS, ICRA preferred)
Nice to Haves
  • Direct experience supporting a safety case or certification submission
  • Experience architecting redundant or diverse sensing systems for safety-rated perception
  • Experience architecting perception systems for humanoid or legged robots specifically
  • Experience representing technical architecture to regulators, third-party certifiers, or safety auditors
  • Substantial experience with failure mode analysis (FMEA), hazard analysis, and safety case strategy for autonomous or robotic systems

Location
This is a remote role with the option to work hybrid if a commutable distance from our Salem, OR, Pittsburgh, PA, or Fremont, CA offices.
The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.
Anticipated Base Salary Range
$238,000-$372,000 USD
In addition to base pay, our competitive total rewards package consists of the following for full-time employees:
  • 401(k) Plan: Includes a 6% company match.
  • Equity: Company stock options.
  • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
  • Benefit Start Date: Eligible for benefits on your first day of employment.
  • Well-Being Support: Employee Assistance Program (EAP).
  • Time Off:
    • Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
    • Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
  • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
  • Parental Leave: Generous paid parental leave programs.
  • Work Environment: A culture that supports flexible work arrangements.
  • Growth Opportunities: Professional development and tuition reimbursement programs.
  • Relocation Assistance: Provided for eligible roles.
  • Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.
Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.
Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.

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