Senior Software Developer Jobs at Scale AI with Visa Sponsorship
Scale AI's Senior Software Developer roles sit at the intersection of data infrastructure and machine learning systems, attracting engineers who build the pipelines and tooling that power AI at scale. Scale AI has a consistent track record of sponsoring work visas across multiple categories for software engineering talent.
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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.

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 Developer Jobs at Scale AI Jobs
Align your portfolio with AI data infrastructure
Scale AI hires Senior Software Developers to build labeling pipelines, evaluation frameworks, and ML tooling. Showcase projects involving large-scale distributed systems, data processing, or model evaluation infrastructure before you apply.
Time your F-1 OPT application around STEM extension eligibility
Software engineering roles at Scale AI typically qualify for the 24-month STEM OPT extension. File your STEM extension with USCIS at least 90 days before your initial OPT expires to avoid a gap in work authorization.
Request H-1B sponsorship details during the offer stage
Ask your recruiter directly whether Scale AI files H-1B cap-subject petitions or relies on cap-exempt pathways. Knowing this before you sign lets you plan around the April lottery window and avoid surprises on start dates.
Use Migrate Mate to filter Senior Software Developer openings by visa type
Searching for roles that match your specific visa category saves time. Migrate Mate lets you filter Scale AI job listings by the visa types they sponsor, so you can focus on positions where your status is explicitly supported.
Senior Software Developer at Scale AI jobs are hiring across the US. Find yours.
Find Senior Software Developer at Scale AI JobsFrequently Asked Questions
Does Scale AI sponsor H-1B visas for Senior Software Developers?
Yes, Scale AI sponsors H-1B visas for Senior Software Developer roles. Senior software engineering positions at Scale AI qualify as specialty occupations under USCIS standards, requiring at least a bachelor's degree in computer science or a related field. If you're subject to the H-1B cap, your employer must register you in the annual USCIS lottery, typically in March for an October start date.
How do I apply for Senior Software Developer jobs at Scale AI?
Applications go through Scale AI's careers page, where Senior Software Developer roles are listed directly. Expect a multi-stage technical interview process covering systems design, distributed systems, and coding. You can also browse Senior Software Developer openings at Scale AI filtered by visa type on Migrate Mate, which surfaces roles aligned to your specific work authorization status.
Which visa types are commonly used for Senior Software Developer roles at Scale AI?
Scale AI sponsors H-1B, E-3, TN, F-1 OPT, F-1 CPT, J-1, and employment-based Green Card pathways including EB-2 and EB-3 for Senior Software Developer positions. Australian nationals can pursue the E-3, which has no annual lottery. Canadian and Mexican nationals may qualify under the TN category without a cap restriction. F-1 graduates on OPT can start before any H-1B petition is filed.
What qualifications does Scale AI expect for Senior Software Developer candidates?
Scale AI's Senior Software Developer roles typically require substantial experience in backend or distributed systems engineering, with strong proficiency in languages like Python, Go, or Java. Familiarity with ML infrastructure, data pipelines, or evaluation tooling is a genuine differentiator at Scale AI specifically. For visa purposes, your degree must be in a directly related technical field to satisfy USCIS specialty occupation requirements under the H-1B or E-3.
How do I understand the visa sponsorship timeline for a Senior Software Developer offer at Scale AI?
Timeline depends on your visa category. H-1B cap-subject cases follow a fixed annual cycle: lottery in March, filing in April, employment starting October 1. E-3 and TN visas can be processed at a consulate in weeks. STEM OPT extensions require a USCIS filing at least 90 days before expiration. For Green Card sponsorship via EB-2 or EB-3, the DOL PERM process alone takes 12 to 18 months before USCIS petition filing begins.
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