Job Summary:
Are you an early-career embedded software engineer who knows how to work smart - including with AI? At Vontas, you'll design and build the software that keeps millions of transit passengers moving every day. This is a hands-on role where your code ships to real hardware across North American transit systems. You'll own features from design through delivery, and you'll have access to AI tools that handle the repetitive heavy lifting - so you can focus on the engineering problems that actually require your expertise.
We estimate roughly 30% of deliverables in this role leverage AI assistance - things like boilerplate generation, test scaffolding, documentation drafts, and protocol research. Your job is to direct that output, validate it against real-world hardware constraints, and ship code that works.
We actively encourage engineers to use AI tools to move faster and reduce toil. You won't be judged for using AI - you'll be expected to use it well.
This role reports to the Senior Manager, Hardware and Platform.
Job Description:
Items marked are deliverables where AI tooling typically handles a meaningfulportionof the work. Your role is to prompt effectively, review critically, and own the outcome.
Work across Intel and ARM architecture environments using PCIe, USB, SATA, IC, SPI, and other standard interfaces
Build systems with attention to power management, standalone operation, aperiodic communications, and data security
Required Skills/Abilities:
Comfort using AI coding assistants (GitHub Copilot, Claude, ChatGPT, or similar) in a professional or personal project context
Education and Experience:
Worker Type:
Regular
Number of Openings Available:
1
We thank all applicants for their interest; however, only those who qualify for an interview will be contacted. *Professional recruiting agents or consultants need not call.