Senior Software Engineering Jobs at Scale AI with Visa Sponsorship
Scale AI hires Senior Software Engineers to build 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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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.
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Get Access To All JobsTips for Finding Senior Software Engineering Jobs at Scale AI Jobs
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.
Senior Software Engineering at Scale AI jobs are hiring across the US. Find yours.
Find Senior Software Engineering at Scale AI JobsFrequently 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 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, TN, 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 is available exclusively to Australian citizens and functions similarly to H-1B without a lottery. TN 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.
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