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Senior Software Engineer, AI Infrastructure Development Platform

Build the AI coding platform that enhances workflows for Skydio engineers in a senior software engineering role.

Location
San Mateo, California, United States
Compensation
$190k–$250k/yr
Level
senior
Type
full time

Posted by employer 1 week ago

First seen on Joblaze 6 days ago

Last verified on the company career page 12 hours ago

Apply at Skydio → Save job Scanned from skydio.com

Skills & Technologies

What you'll build

  • Build and extend our agentic coding platform
  • Design guardrails for permissions and auditability
  • Build infrastructure for deploying internal tools
  • Embed with teams to find workflow bottlenecks
  • Measure impact through adoption and quality

Must have

  • 5+ years building developer tools
  • Hands-on experience with LLM-based tools
  • Strong grounding in Python/Go/TypeScript/C++
  • Experience with CI/CD
  • Experience with cloud infrastructure AWS/GCP

Nice to have

  • Experience with security-sensitive environments
  • Experience with monorepos

AI in the day-to-day

You'll build the platform that puts AI coding agents into the daily workflow of hundreds of Skydio engineers.

Requirements

Experience
5+ years

Not disclosed in this posting: work arrangement, visa sponsorship.

Benefits

401k Match Holiday Pay Equity/Stock Options Sick Leave Paid vacation time Health Insurance

Joblaze summary

In this role, the Senior Software Engineer will focus on enhancing the AI infrastructure development platform by creating tools that streamline workflows for Skydio's engineering teams. Key skills include experience with LLM-based tools, proficiency in programming languages like Python and Go, and a solid understanding of CI/CD and cloud services. This position is ideal for someone with over five years of experience in developer tools or platform systems, particularly in security-sensitive environments. The engineer will collaborate closely with cross-functional teams to identify and resolve workflow bottlenecks, driving efficiency across the organization.

Joblaze insights

  • Listed 6 days ago — first seen on Joblaze October 31, 2026. Last confirmed on Skydio's careers page November 6, 2026.
  • Salary band is in line with the typical range for AI/ML roles (median ~$190,000).
  • Starts above 52% of 208 comparable senior ai/ml roles in United States that list Python we track (median $182,000 across 72 companies). See Python salary trends
  • Python appears in 53.2% of 556 comparable senior ai/ml roles in United States; Go appears in 6.3% of 556 comparable senior ai/ml roles in United States.

Quick facts

What's the salary range?
Skydio lists $190,000–$250,000 for this role.
How much experience is required?
At least 5 years of relevant experience for this Senior Software Engineer, AI Infrastructure Development Platform role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AWS, C++, GCP, Go, Python, TypeScript.
What seniority level is this role?
Skydio targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Software Engineer, AI Infrastructure Development Platform role at Skydio.

From the original posting

About the Team: You will be an integral member of our cross-functional infrastructure team. Working closely with each team of engineers, you will identify the areas that can be enhanced to lower developer’s cognitive load, and make our engineering workflows and pipelines even more efficient. You’ll write common tools, provide development best practices, and guide with thoughtful leadership as we deliver software for our growing customer base world-wide.

About the role: You’ll build the platform that puts AI coding agents into the daily workflow of hundreds of Skydio engineers. You’ll work across our codebase, CI, and internal infrastructure to produce secure tools that increase our development velocity. You’ll work directly with engineers to find where they lose time and build the tools that get that time back.

How you'll make an impact:

  • Build and extend our agentic coding platform: agent integrations, MCP servers, and sandboxed execution

  • Design guardrails such as permissions, secrets handling, and auditability, so agents can be trusted with sensitive code.

  • Build the infrastructure that lets teams quickly deploy internal tools and agents

  • Embed with teams across firmware, autonomy, cloud, and apps to find workflow bottlenecks and fix them.

  • Measure impact through adoption, cycle time, and quality, and use that data to set priorities.

  • Drive adoption: be the internal expert on AI development tools and help engineers get real value from them.cost-efficient.

What makes you a good fit:

  • 5+ years building developer tools, infrastructure, or platform systems.

  • Hands-on experience with LLM-based tools and agents: you’ve built with them, not just used them

  • Strong grounding in Python/Go/TypeScript/C++, CI/CD, and cloud infrastructure AWS/GCP

  • A product mindset toward internal users: you talk to them, ship quickly, and iterate.

  • Experience with security-sensitive environments or monorepos

  • Obtaining FAA Part 107 certification within the first 60 days of employment is strongly encouraged for all Skydio employees and required for certain positions


Compensation: At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $190,000 - $250,000*. Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company’s group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company’s policies and eligibility criteria.

* Compensation for certain positions may vary based on the position’s location.

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Standard company text repeated across Skydio's postings is omitted here.

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