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Ambiq · 4 hours ago

Sr. Staff Edge AI Applied Machine Learning Engineer

Austin, Texas, United States

Full-time

Onsite

Senior Level, Lead/Staff

5+ years exp

Ambiqmicroinc is a pioneer in ultra-low-power semiconductor solutions, aiming to enable intelligence everywhere. They are seeking an experienced Edge AI Applied ML Engineer to design, optimize, and deploy efficient on-device AI models for resource-constrained devices, helping accelerate the shift to on-device intelligence across various applications.

Consumer ElectronicsInternet of ThingsManufacturingSemiconductor

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Develop and optimize on-device ML models for constrained, real-time, battery-powered products, balancing accuracy with latency, memory, and energy

Build and maintain Ambiq’s open-source ADKs for modular datasets, models, tasks, and training recipes

Translate cutting-edge research into production-grade demos and reference implementations

Apply model efficiency techniques: quantization, compression, pruning, and structured sparsification

Serve as a domain expert in audio and vision (data strategy, evaluation, and failure analysis)

Port and optimize customer models to Ambiq edge runtimes, ensuring correctness, performance, and usability

Deliver and promote customer-ready assets: docs, tutorials, examples, benchmarks, plus white papers and conference representation

Qualification

PythonAudio expertiseComputer vision expertiseMachine learning frameworksC/C++RustLinux developmentEdge deployment stacksModel optimization techniquesCollaborationProblem-solvingContinuous learning

Required

BS in Computer Science or related field + 5+ years of relevant experience (or equivalent practical experience)

Strong proficiency in Python; working proficiency in C/C++ and/or Rust for performance and runtime integration

Domain expertise in audio (KWS, speech enhancement, SLM, TTS) and/or vision (classify/detect/segment/pose/OBB/track), with DSP fundamentals (e.g., FFT)

Comfortable in Linux development with Docker/dev containers (able to work across Mac/Windows as needed)

Experience with one or more training frameworks: PyTorch, TensorFlow, JAX, Keras

Strong ML engineering fundamentals: data pipelines, augmentation, metrics, experiment reproducibility, and failure analysis

Familiarity with edge deployment stacks such as ONNX, LiteRT, ExecuTorch

Hands-on with edge optimization: quantization (PTQ/QAT), compression, and (structured) sparsification, plus profiling for latency/memory/energy tradeoffs

Efficient use of AI-assisted development tools while maintaining rigor (testing, review, reproducibility)

Must be currently authorized to work in the United States for any employer. We do not sponsor or take over sponsorship of employment visas (now or in the future) for this role

Preferred

MS or PhD in related disciplines (ML, EE, signal processing, computer vision, robotics) is highly desirable

Company

Ambiq

Ambiq® was founded in 2010 on the simple yet powerful notion that extremely low-power semiconductors are the key to the future of electronics.

Founded in 2010

Austin, Texas, USA

201-500 employees

https://ambiq.com/

Funding

Current Stage

Public Company

Total Funding

$470.19M

Key Investors

Q Venture PartnersOUP (Osage University Partners)Kleiner Perkins

2026-01-21Post Ipo Equity· $83.07M

2025-07-30IPO

2023-09-12Series Unknown· $83.22M

Leadership Team

Fumihide Esaka

Chief Executive Officer

Scott Hanson

Founder and CTO

Recent News

Business Wire

Ambiq Announces Pricing of Upsized Public Offering

2026-01-23

TradingView

Chip firm Ambiq Micro climbs after upsized stock offering

2026-01-23

legacy.thefly.com

Ambiq Micro files to sell 2.2M shares of common stock

2026-01-22

Company data provided by crunchbase