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Ml Compiler Engineer Jobs in Georgia (NOW HIRING)

Ml Compiler Engineer information

What does an ML Compiler Engineer do?

An ML Compiler Engineer designs and develops compilers and software tools that optimize machine learning models for deployment on various hardware platforms. Their work involves translating high-level ML code into optimized, low-level instructions that can run efficiently on CPUs, GPUs, or specialized accelerators. They collaborate closely with hardware engineers and ML researchers to ensure models execute quickly and accurately. Additionally, ML Compiler Engineers may work on improving performance, reducing memory usage, and supporting new ML frameworks or hardware.

What are some typical collaboration points between an ML Compiler Engineer and other teams during a project?

ML Compiler Engineers frequently collaborate with machine learning researchers to understand model requirements, with hardware engineers to optimize for specific accelerators, and with software developers to ensure seamless integration into production systems. This role often involves participating in cross-functional meetings, code reviews, and design discussions to align compiler optimizations with both hardware capabilities and end-user needs. Effective communication and teamwork are essential, as these engineers play a central role in bridging the gap between algorithm design and efficient execution on target platforms.

What are the key skills and qualifications needed to thrive as an ML Compiler Engineer, and why are they important?

To thrive as an ML Compiler Engineer, you need a strong background in computer science, compiler design, machine learning concepts, and typically a degree in computer science or a related field. Familiarity with tools like LLVM, MLIR, TensorFlow XLA, and programming in C++ and Python is often required, along with experience in optimizing machine learning workloads. Strong problem-solving abilities, attention to detail, and effective collaboration skills help set top professionals apart. These skills ensure efficient translation and optimization of ML models for diverse hardware, enhancing performance and scalability.

What is the difference between Ml Compiler Engineer vs Machine Learning Engineer?

AspectMl Compiler EngineerMachine Learning Engineer
Required SkillsProgramming, compiler design, optimization, ML frameworksData analysis, model development, programming, ML frameworks
Work EnvironmentResearch labs, tech companies, AI hardware firmsTech companies, startups, data-driven organizations
CertificationsComputer science, software engineering, specialized compiler coursesMachine learning, data science, AI certifications
Industry UsageAI hardware, software optimization, ML infrastructureModel development, deployment, data analysis

While both roles involve machine learning, Ml Compiler Engineers focus on optimizing ML models through compiler design and software performance, whereas Machine Learning Engineers develop and deploy ML models for applications. The roles often overlap in skills but differ in their primary focus areas.

What job categories do people searching Ml Compiler Engineer jobs in Georgia look for?

The top searched job categories for Ml Compiler Engineer jobs in Georgia are:

What cities in Georgia are hiring for Ml Compiler Engineer jobs?

Cities in Georgia with the most Ml Compiler Engineer job openings:

Infographic showing various Ml Compiler Engineer job openings in Georgia as of August 2026, with employment types broken down into 85% Full Time, 4% Part Time, 8% Contract, and 3% Nights. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Principal Technical Architect

Lennox International

Stone Mountain, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Lennox International rating

7.1

Company rating: 7.1 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

342nd of 490 rated machine equipment manufacturers


Job description

What Drives Success

We are seeking a highly technical, hands-on Technical Architect to lead the design and delivery of next-generation enterprise IoT platforms built with an AI-first engineering mindset. In this role, you will architect scalable, secure, resilient, and cloud-native solutions while remaining actively involved in software design, development, and technical problem-solving.

Success in this role requires deep Java engineering expertise, strong architectural vision, and the ability to lead through influence. You'll write production-quality code, drive key technical decisions, mentor engineers, remove complex delivery obstacles, and continuously elevate engineering standards across the organization.

If you thrive at the intersection of architecture, innovation, and hands-on development, this is an opportunity to shape the future of intelligent connected systems.

DUTIES INCLUDE BUT ARE NOT LIMITED TO:

Architecture & System Design:

  • Design scalable, reliable, secure, and fault-tolerant enterprise systems across distributed applications, integration, data, and cloud-native layers.
  • Define architecture patterns for AI-native capabilities, APIs, event-driven services, observability, resiliency, and performance at enterprise scale.
  • Evaluate technology options and define pragmatic technical direction across cloud, APIs, event-driven services, integrations, observability, and automation. 

Technical Leadership & Delivery:

  • Spend 50%+ of time on hands-on technical work including coding, design reviews, debugging, performance tuning, AI-assisted development, and complex issue resolution.
  • Translate business and product needs into practical architecture decisions, technical roadmaps, and delivery-ready engineering plans.
  • Write production-quality code daily in Java and/or Python, while also guiding implementation across TypeScript/JavaScript, React, APIs, and distributed platform services.
  • Guide engineers through complex design and implementation trade-offs while ensuring solutions remain practical, supportable, and delivery ready.
  • Lead technical staff through architecture execution, sprint delivery, code reviews, quality gates, and production readiness activities.
  • Partner with product owners, business stakeholders, architects, QA, DevOps, and infrastructure teams to ensure technical delivery aligns with business outcomes.
  • Own technical delivery risks, remove engineering blockers, and ensure designs are implemented with measurable quality, reliability, and performance outcomes.

Enterprise Platform & Integration Expertise:

  • Design enterprise-grade integration patterns across internal systems, external platforms, APIs, data pipelines, and real-time/event-driven architectures.
  • Understand infrastructure layers from Kubernetes and cloud-native runtime operations to GPU inference stacks, model-serving patterns, and scalable workload deployment.
  • Ensure solutions are observable, secure, resilient, cost-aware, and supportable in production environments.
  • Establish strong practices across automated testing, CI/CD, observability, rollout safety, incident response, production support, and operational excellence.
  • Create reusable technical patterns, reference architectures, documentation, and engineering playbooks to standardize delivery across teams.

#LI-SJ1 #LI-onsite

What We Are Looking For
  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline. Master's degree preferred.
  • 10+ years of experience building and operating enterprise software, including:
    • 8+ years of hands-on Java engineering experience with deep expertise in JVM internals, compiler behavior, concurrency, memory management, and performance optimization.
    • 5+ years leading enterprise architecture across applications, cloud-native platforms, APIs, integrations, data, and highly available production systems.
  • Proven experience designing scalable, reliable, secure, fault-tolerant, and production-ready enterprise platforms, including distributed systems, IoT platforms, Building Management Systems (BMS), connected devices, and telemetry environments.
  • Strong architecture experience with microservices, APIs, event-driven architecture, integration patterns, DevSecOps, observability, and cloud-native engineering.
  • Hands-on experience developing modern full-stack and platform solutions using technologies such as Java, TypeScript/JavaScript, React, Python, Go, APIs, and distributed infrastructure.
  • Experience applying AI-native development practices, AI/ML or GenAI services, automation frameworks, intelligent system design patterns, and AI-assisted engineering tools such as Claude Code, GitHub Copilot, or similar platforms to accelerate software delivery.
  • Familiarity with multi-agent AI systems, Model Context Protocol (MCP) integrations, agent-to-agent communication, and emerging AI orchestration frameworks.
  • Proven ability to lead highly technical engineering teams while remaining hands-on with architecture, software design, coding, code reviews, troubleshooting, mentoring, and delivery execution.
  • Demonstrated ability to establish technical direction, drive architecture quality, ensure production readiness, and lead engineering execution across cross-functional teams.
  • Strong communication, collaboration, and decision-making skills with the ability to navigate ambiguity, evaluate technical tradeoffs, and deliver high-impact solutions.
What We Offer

Compensation: This is a salaried exempt role. The starting salary range for this role and market is between $134,000 - $176,400 annually. Factors that may affect starting salary include geography/market and the skills, education, experience, and other qualifications of the successful candidate. Employees in this role are also eligible for an annual bonus in accordance with the terms of the Company's applicable plan. Employees in this role are not eligible for overtime.

Benefits: Subject to applicable eligibility requirements, the following benefits are offered for this role: tuition reimbursement; medical, dental, and vision insurance; prescription drug coverage; 401(k) retirement plan; short-term disability insurance; 8 weeks paid birthing leave; 2 weeks paid bonding leave; life and long-term disability insurance.

Depending on date of hire, and subject to applicable eligibility requirements, new employees in this role also receive up to: 12 days paid time off, 2 paid well-being days, 1 paid volunteer day, 12 paid holidays, and 3 floating holidays per year.

Our Culture: At Lennox, our Core Values of Integrity, Respect & Excellence are ingrained in the fabric of the organization. They define our culture - which is about how we do business and how we treat others. Lennox is not just a workplace; we are a global community that values each team member's contributions. As an equal opportunity employer, we are committed to recruit, develop, and retain talented individuals from a wide range of backgrounds, ensuring that everyone has the opportunity to succeed and contribute to our continued growth and success. At Lennox, you'll take pride in our brands, knowing you are part of something special. Come, stay, and grow with us! 

Disclaimers: The compensation and benefits information is accurate as of the date of this posting. Lennox reserves the right to modify this information at any time, with or without notice, subject to applicable law.

#LI-SJ1 #LI-onsite

We may use automated tools, including artificial intelligence, to support parts of our hiring process, such as application review and interview scheduling. These tools assist our teams but do not replace human decision-making. If you need an accommodation or have questions, please contact CandidateAccommodations@Lennox.com.

Employment Type: FULL_TIME

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