In this role, you will design the end-to-end software architecture used to validate hardware at the board, subsystem, and integrated vehicle levels, ensuring our aerospace systems are mission-ready.

Your responsibilities include refining specifications from electrical engineers to validate critical flight components, supporting all development phases from proposal to final test, implementing ground control and telemetry software, and contributing to the team's growth through active recruitment and hiring efforts.

This role puts you at the front of the line for new hardware releases, where you will work directly in the lab to identify and fix complex issues in real-time.

Because your work supports testing across all vehicle subsystems, you will gain unique insight into the entire hardware lifecycle and partner with nearly every engineering team to ensure our systems perform flawlessly under the most demanding conditions.

By combining high-level architecture with hands-on validation, you will play a pivotal role in ensuring that what we send into flight stays there.

This role supports both commercial and U.S. Government programs.

Role:

• Design high-level software architecture in support of vehicle integration and test operations

• Coordinate across multiple teams to create software testing infrastructure based on testing and production needs

• Work with ground software and flight software teams to integrate flight software into test infrastructure

• Design scalable test code to be reused across multiple different testing campaigns and vehicle generations

• Refine specifications from electrical engineers to validate critical flight components

• Support all phases of development from initial proposal development through successful test and flight

• Help guide large test campaigns by creating the tools necessary for its success and delegating and mentoring more junior Engineers

• Assist in recruiting, interviewing, and hiring additional teammates to our rapidly-growing team

• Participate on a rotating on-call shift to troubleshoot and resolve flight and production issues

Requirements:

• Bachelor's degree in Computer Science, Electrical Engineering (or equivalent background knowledge)

• 5+ years total of relevant professional experience

• Strong proficiency in Python (or other high-level object-oriented scripting language(s))

• Experience designing software systems and test architectures/tooling/frameworks

• Experience with Linux and shell command line tools

• A passion for building things, including working in a fast-paced environment and hands-on design and development

• Excellent written and verbal communication skills

Bonus:

• Experience working with relational or time series databases

• Embedded systems experience

• Experience mentoring junior engineers

What we offer:

All our positions offer a compensation package that includes equity and robust benefits. Base pay is just one component of Astranis's total rewards package. Your compensation also includes a significant equity package via incentive stock options, high-quality company-subsidized healthcare, disability and life insurance, 401(k) retirement planning, flexible PTO, and free on-site catered meals.

Astranis pay ranges are informed and defined through professional-grade salary surveys and compensation data sources. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, and the level and scope of the position.

Base Salary: $150,000-$215,000 USD

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As a Software Engineer on the Research Data Platform team, you will:

• Build and operate data pipelines that extract data from research training runs and land it in storage systems that are easy and fast to query
• Work closely with researchers to design and build APIs, libraries, and web interfaces that support data management, exploration, and analysis
• Develop dataset management, data cataloging, and provenance tooling that researchers use in their day-to-day work
• Embed with research teams to understand their workflows, identify high-leverage tooling opportunities, and ship solutions quickly
• Collaborate with adjacent teams to build on existing systems rather than reinventing them

We do not require prior ML or AI training experience. If you enjoy working closely with technical users, learning new domains quickly, and building tools people actually want to use, you'll pick up the research context fast.

Strong candidates may also have experience with large-scale ETL, columnar storage formats, and query engines (e.g., Spark, BigQuery, DuckDB, Parquet), high-volume time series data , ingestion, storage, and efficient querying, data cataloging, lineage, or metadata management systems, or ML experiment tracking or metrics platforms.

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As a software engineer on this team, you will:

• Build and operate data pipelines that extract data from research training runs and land it in storage systems that are easy and fast to query
• Work closely with researchers to design and build APIs, libraries, and web interfaces that support data management, exploration, and analysis
• Develop dataset management, data cataloging, and provenance tooling that researchers use in their day-to-day work
• Embed with research teams to understand their workflows, identify high-leverage tooling opportunities, and ship solutions quickly
• Collaborate with adjacent teams to build on existing systems rather than reinventing them

You may be a good fit if you have significant software engineering experience, particularly building data-intensive applications or internal tooling. You should enjoy working directly with users, gathering requirements iteratively, and shipping things that get adopted. You should also be results-oriented, with a bias towards flexibility and impact.

Strong candidates may also have experience with large-scale ETL, columnar storage formats, and query engines, high-volume time series data, data cataloging, lineage, or metadata management systems, ML experiment tracking or metrics platforms, complex data visualization, and full-stack web application development.

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Our team operates with a flat organisational structure, and leadership is given to those who show initiative and consistently deliver excellence. We value strong communication skills, and all employees are expected to contribute directly to the company's mission.

You'll be working with a range of technologies, including Go, Rust, Scala, Prometheus, Grafana, OpenTelemetry, VictoriaMetrics, and ClickHouse. Experience with Kafka, Redis, and large-scale time series databases is also essential.

In this role, you'll own the reliability, scalability, and performance of the observability stack end-to-end. You'll partner with infrastructure and product teams to deeply integrate observability into our internal platforms.

We offer a competitive salary of $180,000 - $440,000 USD, plus equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Role

We’re building the observability product for OpenAI—from scalable infrastructure to a rich, AI-powered UI. Our systems ingest over petabytes of logs and billions of time series metrics across our fleet. We're now layering intelligence on top—think agents that summarize SEVs, auto-generate dashboards, or help engineers debug through notebook-like UIs.

What You’ll Do

• Own core observability infrastructure, including distributed logging, time series, and trace storage

• Build AI-native tools that help engineers detect, understand, and resolve issues autonomously.

• Contribute to UI experiences like dashboards, notebooking, or interactive debugging

• Collaborate closely with engineers, researchers, user ops, and other teams across the company to build the next generation observability product

You Might Be a Fit If You:

• Have operated large-scale distributed systems in production. (especially logging systems or some other time series databases)

• Thrive in ambiguous environments and roll up your sleeves to solve unscoped problems.

• Have full-stack chops or product sensibilities—you're excited to build real tools people use.

• Have strong fundamentals in systems, networking, and cloud infra (Kubernetes, AWS, etc).

• Bonus: built or contributed to observability systems (e.g. Prometheus, OpenTelemetry, etc).

Why This Team

• We’re both an infra and product team—building a real AI application for internal use.

• Your work will directly power the reliability of GPT-based products at massive scale.

• You'll help define what 'AI-powered observability' looks like at one of the world’s most advanced AI labs.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

Additional Information

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this [link](https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241).

[OpenAI Global Applicant Privacy Policy](https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf)

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