Embedded Machine Learning Engineer – AI/ML

Cirrus Logic

. 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.

Posted 4/9/2026full-timeAustin • Texas • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies

PythonRTOS

About the role

Key responsibilities & impact

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.
Build datasets, design model architectures, and optimize performance, efficiency, and interpretability. Explore advanced approaches in ML-augmented signal processing, anomaly detection, and adaptive control.
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.
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.
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.
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.
Help define benchmarks, evaluation metrics, and pass/fail criteria that ensure ML prototypes address significant industry problems with clear paths to monetization.

Requirements

What you’ll need

Master’s or Ph.D. in Computer Science, Electrical Engineering, or related field with a focus on ML/AI.
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.
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.
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.
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.
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.
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.
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).
Ability to translate complex ML concepts into actionable insights for cross-disciplinary teams of algorithm, firmware, and hardware engineers.

Benefits

Comp & perks

🌐 Worldwide Post a Job Affiliates ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs Account Cirrus Logic Website LinkedIn All Job Openings 1001 - 5000 employees Founded 1984 🔧 Hardware 🛍️ eCommerce 🥽 AR/VR 💰 $235k Debt Financing on 2016-02 Hardware
eCommerce
AR/VR Cirrus Logic is a leader in low-power, high-precision mixed-signal processing and audio solutions. The company provides a wide range of audio products, including codecs, amplifiers, and converters, primarily for consumer electronics such as smartphones, laptops, tablets, and wearables. With extensive expertise in high-performance mixed-signal design, Cirrus Logic also explores applications in haptic technology and various power-related products. Embedded Machine Learning Engineer – AI/ML 🔥 22 minutes ago 🏢🏡 Austin – Hybrid ⏰ Full Time 🟠 Senior 🔴 Lead 🤖 Machine Learning Engineer 🦅 H1B Visa Sponsor Python RTOS Apply Now Find Hiring Managers Customize resume for this job ☆ Save ☑️ Mark as applied ❌ Hide Report problem 📋 Description
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.
Build datasets, design model architectures, and optimize performance, efficiency, and interpretability. Explore advanced approaches in ML-augmented signal processing, anomaly detection, and adaptive control.
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.
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.
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.
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.
Help define benchmarks, evaluation metrics, and pass/fail criteria that ensure ML prototypes address significant industry problems with clear paths to monetization. 🎯 Requirements
Master’s or Ph.D. in Computer Science, Electrical Engineering, or related field with a focus on ML/AI.
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.
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.
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.
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.
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.
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.
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).
Ability to translate complex ML concepts into actionable insights for cross-disciplinary teams of algorithm, firmware, and hardware engineers. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Principal Machine Learning Engineer 🕒 April 1 Bumble Inc. 501 - 1000 👥 B2C 🌍 Social Impact Website LinkedIn All Job Openings Principal Machine Learning Engineer leading AI and Machine Learning systems at Bumble for recommendations and personalization. Driving improvements in user engagement and safety across Bumble products. 🏢🏡 Austin – Hybrid ⏰ Full Time 🔴 Lead 🤖 Machine Learning Engineer Airflow Distributed Systems Python PyTorch Spark Tensorflow Machine Learning Engineer 🕒 March 31 Cloudflare 1001 - 5000 🔒 Cybersecurity ☁️ SaaS 📡 Telecommunications Website LinkedIn All Job Openings Machine Learning Engineer at Cloudflare transforming data lakehouse into a semantic intelligence platform. Leading development of knowledge graphs and AI-driven applications across departments. 🏢🏡 Austin – Hybrid 💰 $150M Series E on 2019-03 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 Machine Learning Engineer 🦅 H1B Visa Sponsor Kubernetes Python TypeScript Go Product Director – Machine Learning 🕒 March 11 Salesforce 10,000+ employees ☁️ SaaS 🤝 B2B 🤖 Artificial Intelligence Website LinkedIn All Job Openings Machine Learning Product Director at Salesforce driving the ML strategy for Attrition Risk Insights and enhancing customer risk management through data-driven insights. 🏢🏡 Austin – Hybrid 💵 $16.4k - $261.5k / year ⏰ Full Time 🔴 Lead 🤖 Machine Learning Engineer 🦅 H1B Visa Sponsor Staff Machine Learning Engineer – Mapping 🕒 March 6 General Motors 10,000+ employees 🚗 Transport ⚡ Energy 🏢 Enterprise Website LinkedIn All Job Openings Staff Machine Learning Engineer building ML-based mapping systems for autonomous driving. Leading technical initiatives and mentoring engineers in a cutting-edge mapping organization. 🏢🏡 Austin – Hybrid 💵 $185.1k - $335.3k / year 💰 $500M Grant on 2024-07 ⏰ Full Time 🔴 Lead 🤖 Machine Learning Engineer 🦅 H1B Visa Sponsor Python Senior Machine Learning Engineer 🕒 January 30 Striveworks 51 - 200 🤖 Artificial Intelligence ☁️ SaaS 🔒 Cybersecurity Website LinkedIn All Job Openings Senior Machine Learning Engineer at Striveworks building AI solutions for business and national security challenges. Collaborating with teams to deliver machine learning models and operational capabilities. 🏢🏡 Austin – Hybrid 💵 $160k - $200k / year ⏰ Full Time 🟠 Senior 🤖 Machine Learning Engineer ETL Java Python PyTorch Rust Scala Scikit-Learn Tensorflow Go View More Machine Learning Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

machine learningmodel developmentML inferenceCNNsRNNsTransformer-based modelsquantizationpruningmixed-precision trainingembedded systems

Soft Skills

collaborationtechnical directionguidancecommunicationproblem-solvinginnovationcross-disciplinary teamworkmentorshipstrategic thinkingadaptability

Certifications

Master’s in Computer SciencePh.D. in Electrical Engineering