Sr. Software Engineer (Platform Team)

United States Digital Space LLC; Brownsville (CA); On-site; USD 170,000 - 235,000; Full time

Benefits offered by this job

Stock options

Medical/Vision/Dental coverage

401(k) retirement plan

Paid vacation and holidays

Job summary

United States Digital Space LLC is seeking a Sr. Software Engineer (Platform Team) to lead the design and implementation of secure, scalable AI platforms and proxy systems across the company. You will own end-to-end platform initiatives, drive compute expansion, and mentor engineers to accelerate AI-enabled solutions.

The role emphasizes onboarding frontier models, optimizing performance and security, and delivering reliable software and trained models on managed compute resources.

Qualifications

• Bachelor’s degree in computer science, computer engineering, or other engineering discipline and 5+ years of professional experience building production software; OR 7+ years of professional experience building production software in lieu of a degree
• Experience developing and operating production platforms (AI/ML infrastructure, developer platforms, or large-scale backend systems)

Responsibilities

• Lead the design, architecture, and implementation of secure, scalable AI platforms and proxy systems used company-wide
• Own complex platform initiatives end-to-end, including technical strategy, implementation, testing, deployment, and long-term evolution
• Drive onboarding of new frontier models, expansion of compute resources, and optimization of proxy systems for performance, security, logging, and control
• Champion adoption across the company by mentoring engineers, communicating value, building shared products/prompts/skills/infrastructure, and providing hands-on support
• Act as an entrepreneurial force to identify high-value opportunities and deliver solutions that allow users to rapidly convert problems and ideas into tested software, deployed applications, and trained models on managed, reliable compute
• Develop and scale tools that mitigate business risk, such as advanced AI-powered code review, PR automation, and safety guardrails
• Define best practices for lean, effective, and secure applied AI that maximizes conversion of engineering expertise into automation and reliable data systems
• Collaborate with and influence cross-functional stakeholders, including ML researchers, security, and operations teams

Skills

Python

Go

Java

TypeScript

Rust

Education

Bachelor’s degree in computer science or related engineering field

Tools

Docker

Kubernetes

CI/CD

Infrastructure-as-code

Job description

the company was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today the company is actively developing the technologies to make this possible, with the ultimate goal ofenabling human life on Mars.

SR. SOFTWARE ENGINEER (PLATFORM TEAM)

The Platform Team builds the foundational tooling and security infrastructure that empowers every team at the company to harness AI effectively. This team creates secure, scalable gateways and proxy systems that allow engineers and operators across the company to write code faster, perform advanced data analysis, connect AI to their daily tools and problems, and turn ideas into deployed solutions with confidence. By onboarding new frontier models, expanding compute capacity, optimizing proxy efficiency for logging and control, and building shared prompts, skills, and infrastructure, this team unlocks reliable, high-impact AI capabilities across the entire organization.

RESPONSIBILITIES:

• Lead the design, architecture, and implementation of secure, scalable AI platforms and proxy systems used company-wide
• Own complex platform initiatives end-to-end, including technical strategy, implementation, testing, deployment, and long-term evolution
• Drive onboarding of new frontier models, expansion of compute resources, and optimization of proxy systems for performance, security, logging, and control
• Champion adoption across the company by mentoring engineers, communicating value, building shared products/prompts/skills/infrastructure, and providing hands-on support
• Act as an entrepreneurial force to identify high-value opportunities and deliver solutions that allow users to rapidly convert problems and ideas into tested software, deployed applications, and trained models on managed, reliable compute
• Develop and scale tools that mitigate business risk, such as advanced AI-powered code review, PR automation, and safety guardrails
• Define best practices for lean, effective, and secure applied AI that maximizes conversion of engineering expertise into automation and reliable data systems
• Collaborate with and influence cross-functional stakeholders, including ML researchers, security, and operations teams

BASIC QUALIFICATIONS:

• Bachelor’s degree in computer science, computer engineering, or other engineering discipline and 5+ years of professional experience building production software; OR 7+ years of professional experience building production software in lieu of a degree
• Experience developing and operating production platforms (AI/ML infrastructure, developer platforms, or large-scale backend systems)

PREFERRED SKILLS AND EXPERIENCE:

• Proven success building and scaling internal AI gateways, secure proxy systems, orMLOpsplatforms in a fast-paced environment
• Deep hands-on experience with Docker, Kubernetes, security architecture, and integrations across multiple cloud and frontier model providers
• Strong background in model onboarding, compute orchestration, observability, and infrastructure for high-volume AI usage
• Demonstrated ability to enable and mentor others through tools, documentation, training, and direct partnership
• Entrepreneurial track record of identifying opportunities and delivering outsized impact
• Proficiency in Python and strong experience with additional languages (Go, Java, TypeScript, Rust, etc.)
• Experience with infrastructure-as-code, CI/CD, and building highly reliable distributed systems
• Passion for AI risk mitigation, developer productivity, and turning complex engineering challenges into simple, scalable AI-powered outcomes

COMPENSATION AND BENEFITS:

Pay range: Sr. Software Engineer: $170,000.00 - $235,000.00/per year

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

• You may also be eligible for long-term incentives, in the form of company stock or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan.
• You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks.
• You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year.
• Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law.

ITAR REQUIREMENTS:

• To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

the company is an Equal Opportunity Employer; employment with the company is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Applicants wishing to view a copy of the company’s Aff…? Should reach out [e-mail].