Mechanical Engineer Jobs at Scale AI with Visa Sponsorship
Scale AI hires Mechanical Engineers to build and maintain the physical infrastructure behind its data annotation and AI operations. The company sponsors a range of work visas for this function, making it a realistic target if you're on OPT, holding an H-1B, or exploring employer-sponsored pathways into the U.S. tech sector.
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Get Access To All JobsINTRODUCTION
The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes:
- Create multi-layered guardrails around agents
- Optimize data retrieval for agents
- Orchestrate fleets of asynchronous agents
- Automatically alerts users to deviations in data
- Illustrating how an agent reached a decision
ROLE AND RESPONSIBILITIES
As a Senior Software Engineer, you will lead the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders.
You will:
- Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers.
- Manage the full lifecycle of feature development from requirement definition to deployment on classified networks.
- Direct the orchestration of asynchronous agent fleets to meet mission requirements.
- Lead customer engagements to translate mission needs into technical requirements.
- Own the communication with stakeholders to ensure implementation meets defined acceptance criteria.
- Conduct technical reviews and identify risks within machine learning infrastructure and model serving.
- Drive the platform roadmap by providing technical specifications for Federal product offerings.
BASIC QUALIFICATIONS
Ideally you will have:
- Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases
- Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
- Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
- AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial.
- Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles
- Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment
- Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering
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, determined by work location and additional factors, including job-related skills, experience, 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.
Please reference the job posting's subtitle for where this position will be located.
For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $216,000—$311,000 USD. The base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is: $194,400—$279,000 USD. The base salary range for this full-time position in the location of St. Louis is: $162,400—$233,000 USD.
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.
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, Cisco, DLA Piper, 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: 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.
INTRODUCTION
The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes:
- Create multi-layered guardrails around agents
- Optimize data retrieval for agents
- Orchestrate fleets of asynchronous agents
- Automatically alerts users to deviations in data
- Illustrating how an agent reached a decision
ROLE AND RESPONSIBILITIES
As a Senior Software Engineer, you will lead the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders.
You will:
- Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers.
- Manage the full lifecycle of feature development from requirement definition to deployment on classified networks.
- Direct the orchestration of asynchronous agent fleets to meet mission requirements.
- Lead customer engagements to translate mission needs into technical requirements.
- Own the communication with stakeholders to ensure implementation meets defined acceptance criteria.
- Conduct technical reviews and identify risks within machine learning infrastructure and model serving.
- Drive the platform roadmap by providing technical specifications for Federal product offerings.
BASIC QUALIFICATIONS
Ideally you will have:
- Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases
- Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
- Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
- AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial.
- Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles
- Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment
- Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering
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, determined by work location and additional factors, including job-related skills, experience, 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.
Please reference the job posting's subtitle for where this position will be located.
For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $216,000—$311,000 USD. The base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is: $194,400—$279,000 USD. The base salary range for this full-time position in the location of St. Louis is: $162,400—$233,000 USD.
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.
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, Cisco, DLA Piper, 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: 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 87+ Mechanical Engineer at Scale AI jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Mechanical Engineer at Scale AI roles.
Get Access To All JobsTips for Finding Mechanical Engineer Jobs at Scale AI Jobs
Align Your Credentials to AI Infrastructure Roles
Scale AI's mechanical engineering work centers on hardware systems, lab equipment, and physical tooling that supports data operations. Frame your resume around precision manufacturing, systems integration, or robotics rather than traditional product development to match their actual hiring signal.
Verify Your OPT STEM Extension Eligibility Early
Scale AI falls under NAICS codes that qualify for F-1 STEM OPT extensions. Confirm your degree field is on the DHS STEM Designated Degree Program List before applying, so you can offer 36 months of work authorization without requiring immediate H-1B sponsorship.
Use Migrate Mate to Filter Scale AI Openings by Visa Type
Scale AI posts Mechanical Engineer roles across several sponsorship categories. Use Migrate Mate to filter active Scale AI openings by the visa type you hold or need, so you're only targeting roles where your authorization status is already a known fit.
Request H-1B Filing Before the April Lottery Deadline
If you're converting from OPT or another status, your employer must submit your H-1B registration with USCIS before the March deadline for an October 1 start. Confirm Scale AI's internal HR cutoff, which is typically several weeks before the USCIS window opens.
Prepare a Portfolio Showing Hardware-Software Integration Work
Scale AI evaluates mechanical engineers on their ability to work across physical and digital systems. Document projects where you designed, prototyped, or maintained equipment tied to data pipelines, sensor arrays, or automated test fixtures to stand out in technical screens.
Understand How TN Status Applies to Your Engineering Discipline
Canadian and Mexican engineers can enter on TN status if their role qualifies under the USMCA engineer classification. Confirm your specific mechanical engineering title maps to an approved TN category with DOL guidelines before negotiating your offer letter wording with Scale AI's HR team.
Mechanical Engineer at Scale AI jobs are hiring across the US. Find yours.
Find Mechanical Engineer at Scale AI JobsFrequently Asked Questions
Does Scale AI sponsor H-1B visas for Mechanical Engineers?
Yes, Scale AI sponsors H-1B visas for Mechanical Engineer roles. The H-1B requires your position to qualify as a specialty occupation, meaning it demands at least a bachelor's degree in mechanical engineering or a directly related field. Scale AI's engineering roles in hardware systems and physical infrastructure typically meet this standard. Your employer files the petition with USCIS after the lottery selection each spring.
How do I apply for Mechanical Engineer jobs at Scale AI?
You can browse and apply for Mechanical Engineer positions at Scale AI through Migrate Mate, which filters open roles by visa sponsorship type so you can target listings that match your authorization status. Applications generally require a resume, and technical roles typically involve a multi-stage interview covering mechanical design, systems thinking, and hardware experience relevant to Scale AI's data infrastructure work.
Which visa types does Scale AI commonly use for Mechanical Engineer roles?
Scale AI sponsors several visa categories for Mechanical Engineers, including H-1B, E-3 for Australian citizens, TN for Canadian and Mexican nationals, F-1 OPT and CPT for students, J-1 for exchange visitors, and EB-2 or EB-3 for permanent residence pathways. The right visa depends on your nationality, degree, and the specific role's requirements. Many candidates start on OPT and transition to H-1B or another long-term category.
What qualifications does Scale AI expect from Mechanical Engineer candidates?
Scale AI generally looks for a bachelor's degree or higher in mechanical engineering or a closely related discipline. Relevant experience with hardware systems, lab or manufacturing environments, precision tooling, or sensor integration is valued given the physical infrastructure focus of the role. Familiarity with CAD software, prototyping workflows, and cross-functional collaboration with software teams strengthens your application significantly.
How do I plan my timeline if I need visa sponsorship from Scale AI?
If you're on F-1 OPT, you can typically begin work without H-1B sponsorship for up to 12 months, or up to 36 months with a STEM extension. For H-1B sponsorship, USCIS registration opens in March each year for an October 1 start date. Factor in Scale AI's internal HR submission deadlines, which typically fall weeks before the USCIS window, and allow additional time if premium processing is not elected.
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