Top 63 Embedded machine learning engineer (ai/ml) Jobs in Austin, Tx

Embedded Machine Learning Engineer (AI/ML)
Cirrus Logic —Austin, TX
- Full-time
- Hybrid work
- Computer Science
- System design
- Research
ML/AI Engineer
Advanced Micro Devices, Inc —Austin, TX
- Hybrid work
- Computer Science
- Master's degree
- Math
Embedded Firmware Engineer, Annapurna Labs ML Acceleration Systems Software
Annapurna Labs (U.S.) Inc. —Austin, TX
- $143,700 - $194,400 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
- AD&D insurance
- Health insurance
Senior Systems Engineer / Level 3 Generalist
Wolff Logics —Cedar Park, TX
- $90,000 - $110,000 a year
- Full-time
- Hybrid work
- 7 years
- HIPAA
- Windows
- Health insurance
- Dental insurance
Quick Apply
4h
Data Center Engineer
Advanced Micro Devices, Inc —Austin, TX
- Computer Science
- Mid-level
- Master's degree
Embedded Software Engineer
Atomic Semi —Austin, TX
- $105,000 - $145,000 a year
- Full-time
- Computer science
- Computer Science
- Schematics
- Commuter assistance
- Paid parental leave
Staff Embedded Software Engineer
Atomic Semi —Austin, TX
- $145,000 - $170,000 a year
- Full-time
- Computer science
- Computer Science
- Schematics
- Commuter assistance
- Paid parental leave
Software Engineer - Test and Validation
Apple —Austin, TX
- $126,800 - $220,900 a year
- Computer Science
- Mid-level
- Electrical Engineering
- Employee stock purchase plan
- Health insurance
Software Engineer, Rust
Atomic Semi —Austin, TX
- $105,000 - $170,000 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
- Commuter assistance
- Paid parental leave
Sr. Embedded Firmware Engineer, Annapurna Labs ML Acceleration Systems Software
Annapurna Labs (U.S.) Inc. —Austin, TX
- $168,100 - $227,400 a year
- Full-time
- Computer science
- Computer Science
- 5 years
- AD&D insurance
- Health insurance
Software Development Engineer, System and Embedded PCIe and Neuron Link
Annapurna Labs (U.S.) Inc. —Austin, TX
- $143,700 - $194,400 a year
- Full-time
- Computer science
- Computer Science
- System design
- AD&D insurance
- Health insurance
Machine Learning Engineer – Motion Planning & Prediction
Avride —Austin, TX
- Research
- C++
- US work authorization
Quick Apply
Perception Engineer
TerraFirma Robotics —Austin, TX
- Extended hours
- Management
- Computer Science
- Bachelor of Science
Senior Space Surveillance Engineer, Sensor Development & Image Processing
Slingshot Aerospace —Austin, TX
- $150,000 - $250,000 a year
- Full-time
- Remote
- 7 years
- Computer Science
- System design
Principal Robotics Simulation Architect
Advanced Micro Devices, Inc —Austin, TX
- Hybrid work
- Computer Science
- System design
- Master's degree
Space Surveillance Engineer II
Slingshot Aerospace —Austin, TX
- $127,500 - $212,500 a year
- Part-time
- Hybrid work
- Computer Science
- System design
- Analysis skills
- Relocation assistance
Sr. Software Development Engineer
Advanced Micro Devices, Inc —Austin, TX
- Online Application
- Computer Science
- Software troubleshooting
- System design
5d
Senior AI Cluster Hardware Engineer
Advanced Micro Devices, Inc —Austin, TX
- Hybrid work
- Data analysis skills
- System design
- Master's degree
11d
C++ Software Developer
Oceaneering —Austin, TX
- Full-time
- Computer Science
- System design
- Office
- Paid parental leave
- Health insurance
AI Engineer III
Terex Corporation —Austin, TX
- Full-time
- Microsoft Word
- Microsoft Excel
- Computer Science
- Health insurance
- Dental insurance

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embedded machine learning engineer (ai/ml) jobs near austin, tx

Embedded Machine Learning Engineer (AI/ML)

Cirrus Logic -
Austin, TX

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Job Details

Full-time

Qualifications

AI models
Digital signal processing
Software engineering
Reinforcement learning
Data preprocessing
Data augmentation
Embedded systems
Software deployment
System performance optimization
Firmware
Generative models
System design
Quantization
Research
AI platforms (beyond public GPTs)
Computational framework
Firmware development
System design for system development
Collaboration with product development teams
Machine intelligence
Model deployment
CNN
RTOS
Developing data pipelines
Model training
System deployment
Neural networks
Embedded C
Microcontroller programming
Machine learning frameworks

Full Job Description

Are you a builder at the frontier of Edge AI/ML, eager to apply your craft to high-impact, real-world problems? Do you thrive in ambiguous spaces where data, silicon, and algorithms intersect? Cirrus Venture Labs (CVL) may be the place for you.

CVL is Cirrus Logic’s newly formed technology accelerator, chartered to develop disruptive, scalable, and monetizable innovations that solve endemic industry problems. Our vision is to be a globally recognized innovation engine that repeatedly shapes and transforms semiconductor markets. We do so by embedding intelligence directly where signals originate in the physical world, across Voice, Sense, and Control domains, and pioneering ML-augmented signal processing.

As a Principal ML Engineer, you will be a hands-on technical leader shaping CVL’s machine learning programs. You will drive the development of ML models, frameworks, and prototyping pipelines, spanning data generation, curation, model engineering, and optimization for deployment on Edge and mixed-signal systems. Partnering closely with Innovation Managers, Architects, external ventures, and away-team contributors, you will turn ambitious hypotheses into validated prototypes that can be scaled into new product categories for Cirrus Logic.

Responsibilites

Prototype Development: Lead rapid prototyping of ML models for edge intelligence across Voice, Sense, and Control domains, tightly integrated with Cirrus Logic’s mixed-signal processing strengths.
Data & Model Engineering: Build datasets, design model architectures, and optimize performance, efficiency, and interpretability. Explore advanced approaches in ML-augmented signal processing, anomaly detection, and adaptive control.
System Integration: Collaborate with silicon, firmware, and systems teams to co-design ML architectures that operate efficiently on constrained hardware and embedded systems, balancing algorithmic accuracy with compute and power budgets.
Exploration & Research: Stay at the forefront of ML frameworks, foundation/SLM trends, and physical-world AI applications. Scout external IP, academic work, and startups to inform CVL’s ML strategy.
Mentorship & Technical Leadership: Provide guidance and technical direction to away-team engineers and contributors across Cirrus Logic. Share best practices in ML model lifecycle, from experimentation to deployment.
Cross-Functional Collaboration: Work hand-in-hand with Innovation Managers, advisory teams, customers, and external partners to identify opportunities, define success criteria, and validate ML-enabled innovations in real-world scenarios.
Impact Assessment: Help define benchmarks, evaluation metrics, and pass/fail criteria that ensure ML prototypes address significant industry problems with clear paths to monetization.

Required Skills and Qualifications

Educational Background: Master’s or Ph.D. in Computer Science, Electrical Engineering, or related field with a focus on ML/AI.
Experience: 8+ years of hands-on experience developing and deploying ML systems on the Edge and within embedded platforms, including ownership of datasets, model development, and deployment pipelines. Proven experience implementing ML inference on resource-constrained systems such as microcontrollers, embedded SoCs, or custom silicon.
Architectural Expertise: Demonstrated experience with CNNs, RNNs (LSTM/GRU), and Transformer-based models, including custom architecture design and optimization for production. Experience tailoring these architectures for low-latency and low-power embedded inference.
Technical Depth: Strong understanding of representation learning, attention mechanisms, sequence-to-sequence modeling, and generative architectures. Ability to translate these methods into efficient implementations suited for real-time sensor, audio, or control workloads.
Optimization for Edge: Experience with quantization, pruning, knowledge distillation, mixed-precision training, and compiler-level optimizations to deploy models on CPUs, DSPs, NPUs, or hybrid SoC architectures. Familiarity with memory hierarchy tradeoffs, compute-offload, and bandwidth constraints in embedded ML.
Embedded & Firmware Integration: Proficiency in embedded software and firmware development (C/C++/Python) with experience integrating ML inference engines into real-time embedded stacks, RTOS environments, or bare-metal systems. Understanding of firmware pipelines, peripheral I/O, and signal-path integration for ML-augmented mixed-signal systems.
Data Engineering: Ability to design labeling strategies, synthetic data generation, and augmentation pipelines to support robust model development. Understanding of data acquisition and preprocessing directly from embedded sensors.
Systems Thinking: Proven track record of co-designing ML and firmware solutions alongside hardware teams, balancing algorithmic, architectural, and physical constraints. Familiarity with embedded ML frameworks and toolchains (e.g., TensorRT, ONNX Runtime, TVM, CoreML, TFLite, Glow, Edge Impulse).
Collaboration & Communication: Ability to translate complex ML concepts into actionable insights for cross-disciplinary teams of algorithm, firmware, and hardware engineers.

Preferred Skills and Qualifications

Startup & Incubator Experience: Background in early-stage, high-ambiguity environments; experience contributing to incubation of new products or platforms.
Specialized ML Expertise: Experience in one or more of: generative models for voice, time-series/sequence modeling, anomaly detection for sensors, reinforcement learning for control systems.
Tooling: Familiarity with MLOps frameworks, data labeling pipelines, and distributed training.
External Engagement: Experience collaborating with startups, academic labs, or open-source communities.
Business Acumen: Ability to assess the business and monetization value of ML solutions in emerging markets.

Join our team and help drive the next wave of foundational technologies that extend the capabilities of Cirrus Logic. If you're passionate about exploring uncharted technological frontiers and delivering disruptive innovations, we’d love to hear from you!

Cirrus Logic is a leading supplier of low-power, high-precision mixed-signal processing solutions for mobile and consumer applications. The company has a robust portfolio of sophisticated low-power products including boosted amplifiers, smart codecs, camera controllers, haptic driver and sensing solutions, power conversion and control ICs, and fast-charging ICs. These solutions have innovative technology, software and associated algorithms incorporated. With a strong intellectual property portfolio and extensive mixed-signal expertise, Cirrus Logic is well-positioned to drive innovation and growth in the evolving markets for audio and high-performance mixed-signal processing technologies.

Cirrus Logic strives to select the best qualified applicant for any opening. Different approaches, ideas and points of view are both valued and respected. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, national origin, age, protected veteran or disabled status, genetic information, or any other classification protected by applicable law.

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embedded machine learning engineer (ai/ml) jobs in austin, tx

Embedded Machine Learning Engineer (AI/ML)

ML/AI Engineer

Embedded Firmware Engineer, Annapurna Labs ML Acceleration Systems Software

Senior Systems Engineer / Level 3 Generalist

Data Center Engineer

Embedded Software Engineer

Staff Embedded Software Engineer

Software Engineer - Test and Validation

Software Engineer, Rust

Sr. Embedded Firmware Engineer, Annapurna Labs ML Acceleration Systems Software

Software Development Engineer, System and Embedded PCIe and Neuron Link

Machine Learning Engineer – Motion Planning & Prediction

Perception Engineer

Senior Space Surveillance Engineer, Sensor Development & Image Processing

Principal Robotics Simulation Architect

Space Surveillance Engineer II

Sr. Software Development Engineer

Senior AI Cluster Hardware Engineer

C++ Software Developer

AI Engineer III

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