๐ San Francisco, California
Deepgram develops AI-driven speech recognition software, focusing on real-time audio processing and transcription. Based in San Francisco, California, Deepgram's technology is designed to enhance applications in customer service, media, and accessibility, utilizing advanced machine learning models for on-device processing. The engineering team specializes in machine learning, natural language processing, and embedded systems, tackling challenges in audio signal processing and model optimization for various platforms. With a commitment to improving accuracy and efficiency, Deepgram's solutions are deployed in diverse environments, making it a notable player in the AI audio space.
Embedded AI Engineer, On-Device Models
@ Deepgram
Embedded AI Engineer, On-Device Models
@ Deepgram
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Deepgram develops AI-driven speech recognition software, focusing on real-time audio processing and transcription. Based in San Francisco, California, Deepgram's technology is designed to enhance applications in customer service, media, and accessibility, utilizing advanced machine learning models for on-device processing. The engineering team specializes in machine learning, natural language processing, and embedded systems, tackling challenges in audio signal processing and model optimization for various platforms. With a commitment to improving accuracy and efficiency, Deepgram's solutions are deployed in diverse environments, making it a notable player in the AI audio space.
Deepgram currently has 2 active embedded systems positions in 1 location. All positions are on-site, typical for hardware-focused roles requiring lab access and equipment.
* Data represents job posting activity over the past 6 months: Feb 2026 through Jul 2026
Hiring momentum at Deepgram is currently increasing, with 2
openings 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, Deepgram averaged 0.3 job postings per month,
with peak hiring in Jul 2026 (2 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.
๐ New hiring activity
Consistent hiring velocity
Jul 2026
C++ is the most in-demand skill at Deepgram,
appearing in 100% of current job listings.
This universal requirement indicates C++ forms the core of Deepgram's
technical stack across all engineering teams.
Deepgram's technology stack spans 7 distinct skills and tools,
reflecting the multifaceted nature of embedded systems development.
This moderate technology stack indicates focused but varied engineering challenges.
Engineers joining Deepgram 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.
Deepgram's primary hiring focus is Embedded Systems Engineer with
2 open positions. High-volume recruitment for a single role type typically indicates
either a growing team building similar capabilities or a newly formed department scaling rapidly.
Multiple openings in the same discipline create advantages for new hires:
stronger peer support networks, established onboarding processes, and clearer career progression paths
as the team matures. Engineers often find collaborative environments more conducive to professional growth.
Experience level distribution: 50% of openings target mid-level-level engineers.
Deepgram'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 Deepgram 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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