π San Francisco, CA
Baseten provides a platform for developers to create and deploy machine learning applications, focusing on GPU kernel optimization. Headquartered in the United States, Baseten enables seamless integration of machine learning models into production environments, catering to various industries including finance and healthcare. The engineering team specializes in software development, particularly in optimizing GPU kernels for performance and efficiency. Engineers tackle challenges related to model deployment, scaling, and real-time inference, ensuring that applications run smoothly in production. With a small team of around 10 employees, Baseten emphasizes agility and innovation in its approach to machine learning solutions.
Software Engineer - GPU Kernels
@ Baseten
GPU Kernel Engineer
@ Baseten
GPU Kernel Engineer
@ Baseten
GPU Kernel Engineer
@ Baseten
GPU Kernel Engineer
@ Baseten
GPU Kernel Engineer
@ Baseten
GPU Kernel Engineer
@ Baseten
GPU Kernel Engineer
@ Baseten
GPU Kernel Engineer
@ Baseten
GPU Kernel Engineer
@ Baseten
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Baseten provides a platform for developers to create and deploy machine learning applications, focusing on GPU kernel optimization. Headquartered in the United States, Baseten enables seamless integration of machine learning models into production environments, catering to various industries including finance and healthcare. The engineering team specializes in software development, particularly in optimizing GPU kernels for performance and efficiency. Engineers tackle challenges related to model deployment, scaling, and real-time inference, ensuring that applications run smoothly in production. With a small team of around 10 employees, Baseten emphasizes agility and innovation in its approach to machine learning solutions.
Baseten 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 Baseten should monitor for openings in firmware development, hardware design, and systems architecture.
* Data represents job posting activity over the past 6 months: Nov 2025 through Apr 2026
Hiring momentum at Baseten 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, Baseten averaged 1.5 job postings per month,
with peak hiring in Nov 2025 (3 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.
π New hiring activity
Consistent hiring velocity
Nov 2025
CUDA is the most in-demand skill at Baseten,
appearing in 100% of all job listings (past and present).
This universal requirement indicates CUDA forms the core of Baseten's
technical stack across all engineering teams.
Baseten's technology stack spans 14 distinct skills and tools,
reflecting the multifaceted nature of embedded systems development.
The broad technical diversity (14 technologies) suggests work on complex,
multi-domain projects requiring both hardware and software expertise.
Engineers joining Baseten 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.
Baseten's engineering operations are concentrated in a single country across 2 locations. Multiple cities within one country often reflect regional talent pools or proximity to specific industry clusters (e.g., automotive in Detroit, semiconductors in Silicon Valley).
These employers share technical focus areas with Baseten 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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