Software Engineer - AI

About OnX

We’re a team of builders, adventurers, and risk takers using technology to help people confidently explore the outdoors. Driven by our mission to awaken the adventurer inside everyone, we build products that optimize every outdoor experience and inspire confidence to get out and go further.

OnX is seeking a Staff Software Engineer to contribute to meaningful, real‑world outcomes that have a lasting impact for customers and the business. In this role, you’ll focus on the design, development, and scaling of our core AI/ML platforms and product‑facing services as part of the AI Foundations Team, supporting the integration of cutting‑edge artificial intelligence solutions across OnX’s product lines.

You’ll take ownership of your work, collaborate closely with partners across the organization, and help move initiatives forward in an environment where priorities evolve, learning is celebrated, and you’re encouraged to keep stretching your skills. This role reports to the Director of Engineering.

• Design, develop, and deploy large‑scale AI systems and services, including models, pipelines, product experiences and infrastructure.
• Help drive the technical strategy and roadmap for AI feature development, focusing on scalability, repeatability, reliability, and performance.
• Mentor and guide other engineers in best practices and product ionizing AI technologies.
• Collaborate with Product and Data Science teams to translate business problems into technical requirements and deliver high‑impact AI solutions.
• Identify opportunities to embed AI as a repeatable mechanism in daily workflows by integrating experimentation into real work, and continuously refining its use with sound judgment and validation.
• Lead AI safety initiatives, ensuring AI‑enabled products are aligned with our values and mission.

• Bachelor’s degree in Computer Science, Data Science, or a related technical field, or equivalent experience.
• 10+ years of professional software engineering experience, with at least 3 years focused on building and scaling production AI/ML systems.
• Expertise in building scalable backend systems.
• Deep knowledge of MLOps practices, cloud infrastructure (AWS, GCP, Azure), and CI/CD pipelines for machine learning models and inference APIs.
• Experience with modern AI technologies, including large language models (LLMs), vector databases, and the AI stack such as Tensor Flow/Keras, PyTorch, Transformers.
• A strong curiosity for exploring new technologies, including AI.
• A shared passion for and ability to demonstrate OnX’s Company Values.
• Permanent US work authorization.

• History of engaging in AI development from early ML/NN to the LLM era.
• Experience in monitoring and debugging production AI systems, including cost and performance optimizations.
• Interest or experience in edge/on‑device inference.
• Experience or experimentation in training/fine‑tuning transformer/diffusion models, dataset curation and captioning.

Applicants can expect an annual salary in the range of $169,000 to $211,000, depending on experience, skills, certifications, and education. Full‑time employees are eligible for common share options with a vesting schedule and a potential annual bonus of 10% based on company performance.

• Competitive salaries, annual bonuses, equity, and growth opportunities.
• Comprehensive health benefits, including a no‑monthly‑cost medical plan.
• Paid parental leave of 13 weeks for birthing parents and 5 weeks for non‑birthing parents.
• 401(k) matching: 100% on the first 3% you save and 50% from 3%–5%.
• Company‑wide outdoor adventures and industry perks.
• Annual “Get Out, Get Active” funds.
• Flexible time away package, including PTO, STO, VTO, and paid holidays.

Success is driven by cognitive abilities such as concentration and problem‑solving, essential for our computer‑centric tasks. OnX will explore reasonable accommodations to ensure individuals with diverse abilities can fully engage and contribute to the essential functions of the job. If assistance or accommodation is needed, please contact

OnX Maps will never ask for credit card or SSN details during the initial application process. For your digital safety, apply only through the legitimate website at  or directly via our Linked In page. Your privacy is respected, and personal information will not be sold.

We are proud to be an equal‑opportunity employer and are committed to fairness in hiring, development, compensation, and promotion. We strive to build an inclusive community where every team member can show up authentically and thrive. Jobs are posted open until filled.