Engineering Technician Jobs at Scale AI with Visa Sponsorship
Engineering Technician jobs at Scale AI sit at the intersection of hardware operations and AI data infrastructure, supporting the physical systems that power large-scale machine learning pipelines. Scale AI has a consistent track record of sponsoring work visas for technical roles across multiple visa categories, making it a realistic target for international candidates.
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The Director of Engineering will report to the General Manager of Physical AI, and will be responsible for leading a multi-disciplinary engineering organization. In this senior leadership role, you will own the execution of the Physical AI Data Engine — the platform powering the next generation of Physical AI/Embodied AI. You will collaborate closely with Operations and GTM to guide product direction and help solve the data bottleneck that stands between today's robotics research and real-world deployment. This role requires significant ownership in a fast-paced environment and you will motivate internal teams to set the pace for business growth. Travel will come into play.
Key Responsibilities:
- Set and drive the technical vision across data collection infrastructure, teleoperation systems, ML training pipelines, model evaluation frameworks, annotation tooling, and research
- Lead a multidisciplinary engineering organization—spanning engineering managers, software engineers, ML engineers, and ML research scientists—while designing the organizational structure, talent strategy, and culture required to scale rapidly without compromising on quality or strategic alignment
- Maintain exceptional technical and operational excellence by deeply understanding team deliverables, asking incisive questions, identifying slipping standards early, and knowing precisely when to step in
- Drive cross-functional alignment across Engineering, Operations, and GTM on platform architecture, release processes, and shared priorities
- Collaborate with researchers and clients to architect and deliver scalable, production-grade data infrastructure tailored for complex robotics workloads
Required Qualifications:
- Bachelor's degree in Engineering, Robotics, Computer Science, or a related technical field
- 8+ years of engineering experience in fast-paced environments, including 4+ years direct people management demonstrated history of recruiting, mentoring, and developing high-performing technical teams through rapid growth and change
- Experience leading technical execution for complex hardware-software systems, with deep domain knowledge in Robotics, Autonomous Vehicles, Computer Vision, and/or Machine Learning strongly preferred
- Deep fluency in the ML development lifecycle — training pipelines, data flywheels, and evaluation frameworks as systems you've built and owned
- Comfortable leading teams across Python, C++, and TypeScript/Node stacks, distributed systems, cloud infrastructure (AWS, Kubernetes), and workflow orchestration (Temporal, Airflow)
- Proven ability to independently navigate, execute effectively amidst ambiguity, and strong attention to detail
- Strong operator and communicator to create tight feedback loops between teams, surface problems early, and drive decisions with clarity across technical and executive audiences
Nice to Have
- MS or PhD is a plus, though strong practical experience is equally valued.
- Hands-on experience with teleoperation systems (ALOHA, UMI, hand tracking), robotic hardware platforms, or imitation learning
- Background in sensor fusion, SLAM, or 3D data processing
- Experience scaling data collection systems globally
Compensation
- Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
The base salary range for this full-time position in the location of San Francisco is: $302,400—$378,000 USD
About us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
EEO Statement
We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Role Overview
The Director of Engineering will report to the General Manager of Physical AI, and will be responsible for leading a multi-disciplinary engineering organization. In this senior leadership role, you will own the execution of the Physical AI Data Engine — the platform powering the next generation of Physical AI/Embodied AI. You will collaborate closely with Operations and GTM to guide product direction and help solve the data bottleneck that stands between today's robotics research and real-world deployment. This role requires significant ownership in a fast-paced environment and you will motivate internal teams to set the pace for business growth. Travel will come into play.
Key Responsibilities:
- Set and drive the technical vision across data collection infrastructure, teleoperation systems, ML training pipelines, model evaluation frameworks, annotation tooling, and research
- Lead a multidisciplinary engineering organization—spanning engineering managers, software engineers, ML engineers, and ML research scientists—while designing the organizational structure, talent strategy, and culture required to scale rapidly without compromising on quality or strategic alignment
- Maintain exceptional technical and operational excellence by deeply understanding team deliverables, asking incisive questions, identifying slipping standards early, and knowing precisely when to step in
- Drive cross-functional alignment across Engineering, Operations, and GTM on platform architecture, release processes, and shared priorities
- Collaborate with researchers and clients to architect and deliver scalable, production-grade data infrastructure tailored for complex robotics workloads
Required Qualifications:
- Bachelor's degree in Engineering, Robotics, Computer Science, or a related technical field
- 8+ years of engineering experience in fast-paced environments, including 4+ years direct people management demonstrated history of recruiting, mentoring, and developing high-performing technical teams through rapid growth and change
- Experience leading technical execution for complex hardware-software systems, with deep domain knowledge in Robotics, Autonomous Vehicles, Computer Vision, and/or Machine Learning strongly preferred
- Deep fluency in the ML development lifecycle — training pipelines, data flywheels, and evaluation frameworks as systems you've built and owned
- Comfortable leading teams across Python, C++, and TypeScript/Node stacks, distributed systems, cloud infrastructure (AWS, Kubernetes), and workflow orchestration (Temporal, Airflow)
- Proven ability to independently navigate, execute effectively amidst ambiguity, and strong attention to detail
- Strong operator and communicator to create tight feedback loops between teams, surface problems early, and drive decisions with clarity across technical and executive audiences
Nice to Have
- MS or PhD is a plus, though strong practical experience is equally valued.
- Hands-on experience with teleoperation systems (ALOHA, UMI, hand tracking), robotic hardware platforms, or imitation learning
- Background in sensor fusion, SLAM, or 3D data processing
- Experience scaling data collection systems globally
Compensation
- Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
The base salary range for this full-time position in the location of San Francisco is: $302,400—$378,000 USD
About us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
EEO Statement
We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
See all Engineering Technician Jobs at Scale AI
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Engineering Technician Jobs at Scale AI.
Get Access To All JobsTips for Finding Engineering Technician Jobs at Scale AI
Frame your credentials around AI hardware workflows
Scale AI's Engineering Technician roles prioritize hands-on experience with lab equipment, hardware validation, and sensor systems. Before applying, document specific tools and instrumentation you've operated, not just general technical skills.
Target Scale AI's sensor and robotics data teams
Engineering Technician openings at Scale AI cluster around autonomous vehicle data collection and robotics annotation infrastructure. Positioning your experience toward sensor calibration, lidar systems, or mechanical assembly increases your relevance to their highest-volume hiring areas.
Understand which visa fits your situation early
Scale AI sponsors H-1B, E-3, TN, F-1 OPT, CPT, and J-1 visas for technical roles. Knowing which category applies to your citizenship and degree level before your interview lets you answer sponsorship questions confidently rather than stalling the offer process.
Use OPT and CPT as an entry point
If you're on an F-1 visa, CPT or OPT authorization lets you start working at Scale AI while a longer-term sponsorship pathway is arranged. USCIS requires your OPT start date to align with your program end date, so coordinate timing carefully with your DSO.
Ask about internal transfer before H-1B lottery season
Scale AI operates internationally. If you miss the H-1B cap in April, ask your recruiter whether a role in a cap-exempt or international office could bridge you to the next registration window without losing your offer.
Browse verified sponsoring roles through Migrate Mate
Engineering Technician openings at Scale AI can be filtered by visa type on Migrate Mate, so you're only applying to roles where sponsorship is confirmed rather than guessing from generic job board listings.
Frequently Asked Questions
Does Scale AI sponsor H-1B visas for Engineering Technicians?
Yes, Scale AI sponsors H-1B visas for Engineering Technician roles. Because the H-1B requires the position to qualify as a specialty occupation, you'll want to ensure your role involves a degree-requiring technical discipline, such as electrical engineering, mechanical engineering, or a related field. Scale AI has sponsored across multiple visa categories for this function, and H-1B is among them.
How do I apply for Engineering Technician jobs at Scale AI?
Applications go through Scale AI's careers portal. Tailor your resume to highlight hardware experience relevant to AI data pipelines, sensor systems, or lab instrumentation, since those map directly to their open Engineering Technician scopes. You can also use Migrate Mate to browse verified Scale AI Engineering Technician openings filtered by the visa type that applies to your situation, which saves time and surfaces roles actively open to sponsorship.
Which visa types are commonly used for Engineering Technician roles at Scale AI?
Scale AI sponsors H-1B, E-3 visa (for Australian citizens), TN visa (for Canadian and Mexican nationals), F-1 OPT, F-1 CPT, and J-1 visas for technical positions. For Engineering Technicians, F-1 OPT is a common starting point for recent graduates, while H-1B and E-3 visa are the primary long-term options depending on your citizenship. TN visa is available for qualifying Canadian and Mexican nationals in eligible technical categories.
What qualifications and experience does Scale AI expect for Engineering Technician roles?
Scale AI's Engineering Technician postings typically require hands-on experience with hardware assembly, testing equipment, or sensor systems, often in an AI, robotics, or autonomous vehicle context. A degree in electrical engineering, mechanical engineering, or a closely related technical field strengthens your H-1B specialty occupation case. Practical lab skills, familiarity with calibration processes, and the ability to follow precise technical documentation are consistently emphasized across their job descriptions.
How long does the visa sponsorship process take for a Scale AI Engineering Technician role?
Timeline depends on visa type. F-1 OPT authorization from USCIS can take up to 90 days, so apply well before your program end date. H-1B standard processing runs three to six months, with premium processing available for a faster decision. E-3 and TN can often be processed at a consulate or port of entry more quickly. Aligning your offer letter timeline with your current visa status is critical to avoiding gaps in work authorization.