Pony.ai
Pony.ai
Building the future of autonomous driving technology
📍 Fremont, California
About Pony.ai
Pony.ai develops autonomous driving software and systems, headquartered in Fremont, California. The company focuses on creating self-driving technology for passenger vehicles and logistics, utilizing advanced AI algorithms and sensor fusion techniques to navigate complex urban environments. Engineering teams specialize in perception, planning, and control systems, addressing challenges such as real-time decision-making and safety validation. With a commitment to deploying autonomous vehicles at scale, Pony.ai collaborates with various partners to enhance its technology and expand its operational footprint.
Current Job Openings
0 jobsAll Pony.ai Job Openings
-
Expired
Software Engineer, Perception
@ Pony.ai
📍CA, United States 🇺🇸📊 mid-level⏱︎ full-timeC++ Python roboticsView Software Engineer, PerceptionView details -
Expired
Senior Embedded Software Engineer
@ Pony.ai
📍CA, United States 🇺🇸📊 senior⏱︎ full-timeARM SoC LinuxView Senior Embedded Software EngineerView details
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About Pony.ai
Pony.ai develops autonomous driving software and systems, headquartered in Fremont, California. The company focuses on creating self-driving technology for passenger vehicles and logistics, utilizing advanced AI algorithms and sensor fusion techniques to navigate complex urban environments. Engineering teams specialize in perception, planning, and control systems, addressing challenges such as real-time decision-making and safety validation. With a commitment to deploying autonomous vehicles at scale, Pony.ai collaborates with various partners to enhance its technology and expand its operational footprint.
Pony.ai Career Opportunities
Pony.ai operates in the embedded systems space with focus on Software Development. While no positions are currently listed, embedded companies often hire in cycles tied to product launches, R&D phases, or contract milestones. Engineers interested in Pony.ai should monitor for openings in firmware development, hardware design, and systems architecture.
Pony.ai Hiring Trends
* Data represents job posting activity over the past 6 months: Jun 2025 through Nov 2025
Hiring momentum at Pony.ai is currently increasing, with 1
opening posted this month compared to 0 last month.
This upward trend often signals product development acceleration, team scaling, or new project initiatives.
Over the past 6 months, Pony.ai averaged 0.2 job postings per month,
with peak hiring in Nov 2025 (1 openings).
For embedded systems roles, hiring activity typically correlates with product development cycles,
especially for firmware teams during pre-production phases and hardware engineers during prototyping.
📈 New hiring activity
Consistent hiring velocity
Nov 2025
Required Skills at Pony.ai
C++ is the most in-demand skill at Pony.ai,
appearing in 50% of all job listings (past and present).
This skill is important but not universal, indicating diverse technical needs across different product lines or teams.
Pony.ai's technology stack spans 10 distinct skills and tools,
reflecting the multifaceted nature of embedded systems development.
This moderate technology stack indicates focused but varied engineering challenges.
Engineers joining Pony.ai should combine depth in key areas with adaptability. Firmware development expertise is critical, especially for engineers skilled in bare-metal programming, RTOS development, and optimizing code for resource-constrained systems. Candidates with adjacent skills (version control, testing frameworks, communication protocols) typically advance faster by contributing across the development lifecycle.
Where Pony.ai is Hiring
Pony.ai's engineering operations are concentrated in a single country across 1 location. A single-location focus enables tight team collaboration and simplified operations, particularly valuable for hardware-intensive development requiring shared lab facilities.
Companies Similar to Pony.ai
These employers share technical focus areas with Pony.ai and are actively hiring embedded engineers. Exploring multiple companies helps candidates understand market compensation, compare technical challenges, and identify the best cultural and technical fit for their career goals.
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