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Director Asus Engineering Jobs (NOW HIRING)

Senior Machine Learning Engineer

Boston, MA ยท On-site +1

$161K - $246K/yr

The ASUS Robotics & AI Center is seeking a Senior Machine Learning Engineer to join our global ... The ideal candidate is a mature, self-directed contributor who can drive technical decisions ...

Contribute to ASUS ISG's long-term strategic goals by expanding market presence across key ... Arrange and lead presentations and business meetings with client teams in Planning, Engineering ...

As part of ASUS's evolution into a total solution provider, ISG delivers industry-leading servers ... Identify and capture new direct-sale opportunities to exceed U.S. revenue targets. * Lead ...

As part of ASUS's evolution into a total solution provider, ISG delivers industry-leading servers ... Identify and capture new direct-sale opportunities to exceed U.S. revenue targets. * Lead ...

Business Development Manager

Fremont, CA ยท On-site

$120K - $170K/yr

As part of ASUS's evolution into a total solution provider, ISG delivers industry-leading servers ... Identify and capture new direct-sale opportunities to exceed U.S. revenue targets. * Lead ...

Business Development Manager

Diamond Bar, CA ยท On-site

$120K - $170K/yr

As part of ASUS's evolution into a total solution provider, ISG delivers industry-leading servers ... Identify and capture new direct-sale opportunities to exceed U.S. revenue targets. * Lead ...

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Director Asus Engineering information

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$73K

$194.7K

$254K

How much do director asus engineering jobs pay per year?

As of Jun 29, 2026, the average yearly pay for director asus engineering in the United States is $194,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,500.00 and $253,000.00 per year, depending on experience, location, and employer.

What is the difference between Director Asus Engineering vs Asus Engineering Manager?

AspectDirector Asus EngineeringAsus Engineering Manager
CredentialsBachelor's or Master's in Engineering, leadership experienceBachelor's or Master's in Engineering, team management experience
Work EnvironmentOversees multiple teams, strategic planningManages engineering teams, project execution
Industry UsageUsed in corporate, large-scale projectsCommon in product development teams
Search & Comparison IntentHigh-level leadership roles, strategic responsibilitiesTeam management, project delivery focus

The main difference between a Director Asus Engineering and an Asus Engineering Manager lies in scope and responsibilities. The Director typically oversees multiple teams and focuses on strategic planning, while the Manager handles day-to-day team management and project execution. Both roles require engineering credentials and leadership skills, but the Director's role is broader and more strategic.

More about Director Asus Engineering jobs
What cities are hiring for Director Asus Engineering jobs? Cities with the most Director Asus Engineering job openings:
What are the most commonly searched types of Asus Engineering jobs? The most popular types of Asus Engineering jobs are:
What states have the most Director Asus Engineering jobs? States with the most job openings for Director Asus Engineering jobs include:
Infographic showing various Director Asus Engineering job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $194,709 per year, or $93.6 per hour.

Senior Machine Learning Engineer

ASUS

Boston, MA โ€ข On-site, Remote

$161K - $246K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Job Description Overview:

The ASUS Robotics & AI Center is seeking a Senior Machine Learning Engineer to join our global research and development team. This role centers on leading the design and delivery of advanced computer vision and perception systems for our next-generation autonomous platforms.

We are looking for a seasoned engineer who brings deep technical expertise, sound engineering judgment, and a proven track record of delivering production ML systems in complex, real-world environments. The ideal candidate is a mature, self-directed contributor who can drive technical decisions, mentor others, and operate effectively across a collaborative, multidisciplinary team.

Essential Duties and Responsibilities:

  • Lead the design and development of machine learning systems for computer vision and perception tasks.
  • Optimize models for real-time performance on embedded and edge computing platforms.
  • Build and maintain robust perception pipelines that integrate data from cameras and other sensors.
  • Evaluate and implement state-of-the-art techniques in deep learning, object detection, and visual tracking.
  • Drive technical decisions and provide guidance on architecture, tooling, and best practices across the team.
  • Design and execute experiments, including simulation and real-world field testing, to validate model performance.
  • Maintain and improve datasets, pipelines, and tools to support efficient model training and deployment.
  • Collaborate with cross-functional teams, including robotics, systems, and software engineers, to deliver production-ready solutions.


Knowledge and Skills:

  • Proficiency in Python and deep learning frameworks such as PyTorch and/or JAX. Hands-on experience training models such as VLMs, ViTs, and/or CNNs.
  • Familiarity with classical computer vision techniques (e.g., OpenCV).
  • Exceptionally strong problem-solving skills and the ability to lead technical work in a fast-paced, multidisciplinary environment.
  • Understanding of software development best practices, including coding standards, code reviews, source control management, and test automation.
  • Experience with robotics, autonomous systems, or real-time perception applications is strongly preferred.
  • Knowledge of MLOps practices (e.g., model versioning, CI/CD for ML) is a plus.
  • Ability to work confidently in a rapidly changing, fast-paced and results-oriented corporate environment where a high degree of flexibility is required
  • Excellent written and verbal communication skills in English

Required Qualifications:

Years of Education

  • Bachelor's degree or higher in computer science, electrical engineering, robotics, or a related field.

Work Experience

  • 8+ years of industry experience developing and deploying machine learning models for computer vision or perception applications.


Preferred Qualifications:

  • Experience with camera geometry, 3D reconstruction, or GPU programming (e.g., CUDA, Triton) is a plus.

Working Conditions:

  • Office Only: Works in an office environment in Boston, MA
  • 3 days in office/2 days work from home
  • Requires sitting, operating a computer keyboard, telephone and other office equipment for extended periods of time
  • Travel to Taipei occasionally for team collaboration and project needs
  • Domestic travel approx. 5%. International travel approx. 5%

About the ASUS Robotics & AI Center

The ASUS Robotics and AI Center is a world-class research and development laboratory that was established with the mission of developing ambitious technologies that will define the future. Our multidisciplinary team of the brightest engineers and scientists is dedicated to creating software-focused solutions that will solve some of the most enduring challenges in the fields of robotics and artificial intelligence.

More About ASUS

ASUS is a global technology leader that provides the world's most innovative and intuitive devices, components, and solutions to deliver incredible experiences that enhance the lives of people everywhere. With its team of 5,000 in-house R&D experts, the company is world-renowned for continuously reimagining today's technologies. Consistently ranked as one of Fortune's World's Most Admired Companies, ASUS is also committed to sustaining an incredible future. The goal is to create a net zero enterprise that helps drive the shift towards a circular economy, with a responsible supply chain creating shared value for every one of us.

$161,000 - $246,000 annually is the estimated pay range for this role working in Boston, MA. The final amount will be determined based on qualifications & experience of the candidate relative to the role. Our comprehensive employee benefits include bonuses, medical, dental, vision, life insurance, AD&D insurance, Paid Time Off, EAP, & 401(k).
ASUS is an equal employment opportunity employer. The Company makes employment decisions without regard to race, color, religion, sex, gender, pregnancy/ breastfeeding, medical conditions related to pregnancy or childbirth, sexual orientation, age, national origin or ancestry, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, as well as any other characteristic protected by law, regulation or local ordinance, and strives to comply with all applicable laws on the subject. These employment decisions extend to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment, pay and other forms of compensation, training and other terms and conditions of employment.

Employment Type: Full-Time