Senior Software Engineering Jobs at Scale AI with Visa Sponsorship
Senior Software Engineering jobs at Scale AI involve building the data infrastructure powering frontier AI systems. The company has an established track record of sponsoring work visas across multiple categories for engineering roles, making it a realistic target for international candidates with strong ML, distributed systems, or platform engineering backgrounds.
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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 Senior Software Engineering Jobs at Scale AI
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Get Access To All JobsTips for Finding Senior Software Engineering Jobs at Scale AI
Align your portfolio to AI data pipelines
Scale AI's engineering work centers on data labeling infrastructure, model evaluation, and RLHF pipelines. Before applying, make sure your resume and GitHub portfolio surface experience with large-scale data systems, annotation tooling, or ML platform work rather than generic full-stack projects.
Verify Scale AI's E-Verify enrollment before applying
Scale AI participates in E-Verify, which is required for F-1 OPT and STEM OPT employment authorization. Confirm your OPT start date leaves enough runway for onboarding, because a gap between authorization and your first day can trigger compliance issues with USCIS.
Request H-1B sponsorship clarity during offer negotiation
Once you reach the offer stage, ask directly whether Scale AI will cover premium processing for your H-1B petition. For senior engineering roles at AI companies, employer-paid premium processing is standard practice and saves you three to five months of status uncertainty.
Time your application around the H-1B registration window
If you need H-1B sponsorship, USCIS opens lottery registration in early March each year. Targeting Scale AI's recruiting pipeline in January or February gives your recruiter time to confirm sponsorship approval internally before the registration deadline closes.
Prepare a degree equivalency analysis for non-U.S. credentials
H-1B specialty occupation requires a bachelor's degree or equivalent in a directly related field. If your computer science or engineering degree is from outside the U.S., get a credential evaluation from a NACES-member agency before your employer files the I-129 petition with USCIS.
Use Migrate Mate to surface open Senior Software Engineering roles
Scale AI posts senior engineering openings across multiple teams, and availability shifts quickly. Use Migrate Mate to filter specifically for Scale AI roles that confirm visa sponsorship, so you're applying to active positions where sponsorship has already been validated.
Frequently Asked Questions
Does Scale AI sponsor H-1B visas for Senior Software Engineers?
Yes, Scale AI sponsors H-1B visas for Senior Software Engineering roles. The company files H-1B petitions for engineering hires across its data platform, infrastructure, and AI evaluation teams. If you're currently on F-1 OPT or another nonimmigrant status, you'd transition to H-1B visa through the annual USCIS lottery, with your employer submitting the petition after a successful registration in March.
How do I apply for Senior Software Engineering jobs at Scale AI?
Applications go through Scale AI's careers page, where senior engineering roles are listed by team and location. Roles span data engine infrastructure, trust and safety tooling, and AI model evaluation platforms. You can also browse active openings that confirm visa sponsorship on Migrate Mate, which filters specifically for roles where international candidates are eligible.
Which visa types does Scale AI commonly sponsor for Senior Software Engineering roles?
Scale AI sponsors H-1B, E-3 visa, TN visa, and F-1 OPT for Senior Software Engineering positions, along with Green Card pathways including EB-2 and EB-3 for longer-tenured employees. E-3 visa is available exclusively to Australian citizens and functions similarly to H-1B without a lottery. TN visa applies to Canadian and Mexican nationals in qualifying USMCA occupations, which includes software engineers.
What qualifications does Scale AI expect for Senior Software Engineering candidates?
Scale AI's senior engineering roles typically require several years of experience in distributed systems, backend infrastructure, or ML data pipelines. Hands-on experience with large-scale data processing, Python or Go, and platform engineering carries more weight than general full-stack backgrounds. For specialty occupation purposes under H-1B, your degree must be in computer science, software engineering, or a directly related technical field.
How do I think about the visa sponsorship timeline when targeting Scale AI?
Timeline depends heavily on which visa category applies to you. F-1 OPT authorization starts the day USCIS approves your OPT application, so apply two to three months before your intended start date. H-1B petitions filed after the March lottery aren't effective until October 1, so if you're hired mid-year, you may need to bridge the gap on OPT or another status. For E-3 and TN, processing at a consulate or port of entry is typically faster, often within a few weeks.