Advanced Analytics Research Scientist - Industrial Edge Intelligence

Description

The company makes technology that helps manufacturers become more productive, sustainable and agile, and has more than 28,000 employees.

The team is building the next generation of AI-native industrial automation that runs on current edge compute platforms. These systems learn, adapt and operate on their own close to machines and processes.

You will work as an AI engineer or scientist on real-time learning, reasoning, optimization and autonomous operation, where edge AI, control, autonomy, embedded intelligence and live operational analytics meet.

You will help decide how future industrial systems are designed and run.

Responsibilities

• Build AI-native industrial systems that reason and decide in real time, adjust processes as conditions change, act autonomously, learn from operating data and coordinate across distributed assets.
• Design and deploy AI on current edge platforms that use CPU and GPU acceleration.
• Combine generative AI and small language models, machine learning and reinforcement learning, optimization and control, streaming and event-driven analytics, and distributed edge inference into working architectures.
• Keep AI execution low-latency inside industrial sites while balancing performance, reliability and operating limits.
• Connect AI with automation systems, robots, sensors, controllers and plant infrastructure.
• Work alongside AI research, controls, embedded systems and industrial operations teams.

Requirements

• Bachelor's degree in a relevant field.
• Preferred: 5+ years of relevant experience.
• Preferred: background in edge AI, machine learning systems engineering, autonomous systems, industrial AI, or embedded and distributed AI, including work under resource or real-time constraints.
• Preferred: software engineering skills in Python and modern AI/ML frameworks.
• Preferred: familiarity with edge inference optimization, GPU computing, streaming and real-time systems, distributed AI, and control and optimization.
• Preferred: ability to turn advanced AI concepts into practical deployments in operational settings.
• Preferred: curiosity, creativity, and enthusiasm for building systems that interact with the physical world.

Conditions

Hybrid role based in Austin, TX, reporting to the Director of AI.

Expected to be at a company location on Mondays, Tuesdays and Thursdays unless you have a business obligation elsewhere.

Pay level and compensation are set by experience, as this role belongs to a job family.

The company is an equal opportunity employer, including disability and veterans.

Benefits

• Health insurance covering medical, dental and vision.
• 401k.
• Paid time off.
• Parental and caregiver leave.
• Flexible work schedule, arranged with your manager to fit your personal life.