Ai Guided Robotics

Ai Guided Robotics Engineer Jobs

3 jobs found

Today

Robotics AI Engineer

Apple Cupertino, CA

Cupertino, CA

Today

$185k - $325k/yr Full time Python Agentic Ai Ai Automation

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Job Description

Apple is hiring a Robotics AI Engineer in Cupertino, CA (onsite) to turn natural user intent into adaptive, real-time behaviors.

Responsibilities

Apply frontier reasoning models to convert user intent into robust closed-loop plans that clarify, adapt, and replan as context changes
Design agent harnesses that ground model reasoning in the user’s context and a structured set of system capabilities
Use multimodal models to interpret intent from audio, text, and vision inputs
Evaluate models by mapping product requirements to appropriate metrics, then use results to identify failures and drive improvements
Fine-tune and distill frontier models into smaller, efficient models for on-device deployment
Deploy and optimize models on Apple silicon for real-time, efficient, interactive performance
Rapidly prototype and assess new AI models, tools, and agent harnesses to advance product capabilities

Requirements

PhD in Computer Science, Machine Learning, or a related field
Experience with model fine-tuning and distillation for efficient on-device deployment
Hands-on experience with inference engines: llama.cpp, vLLM, MLX, or Core ML
Experience building agent harnesses for multi-step, closed-loop reasoning
Track record of shipping products to users
Proficiency in Python and ML frameworks: PyTorch or TensorFlow
BS or MS in Computer Science or Machine Learning
Strong foundation in and deep understanding of modern machine learning methods
Experience training or fine-tuning your own transformer and/or diffusion models
Proficiency using coding agents: Claude Code and Codex
Genuine excitement for experimenting with the latest AI models, tools, and multimodal capabilities

Preferred qualifications

PhD in Computer Science, Machine Learning, or a related field
Experience with model fine-tuning and distillation for efficient on-device deployment
Hands-on experience with inference engines such as llama.cpp, vLLM, MLX, or Core ML
Experience building agent harnesses for multi-step, closed-loop reasoning
Track record of shipping products to users
Proficiency in Python and ML frameworks (PyTorch or TensorFlow)

Technologies

Python
PyTorch
TensorFlow
llama.cpp
vLLM
MLX
Core ML
Claude Code
Codex
Transformer models
Diffusion models
Apple silicon

Education

BS or MS in Computer Science or Machine Learning

Pay & Benefits

Base pay range: $184,700 - $324,800 per year
Apple base pay is determined within a range based on skills, qualifications, experience, and location
Potential for discretionary bonuses or commission, as well as relocation (eligibility may apply)
Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition
Discretionary restricted stock unit awards (eligibility may apply)
Opportunity to become an Apple shareholder through discretionary employee stock programs
Option to purchase Apple stock at a discount via the Employee Stock Purchase Plan (voluntary participation)
Note: Benefits, compensation, and employee stock programs are subject to eligibility requirements and plan terms

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15d ago

Principal Software Engineer – Robot Applications & Voice AI

Cerence AI San Francisco Bay Area, CA 🇺🇸 Remote

San Francisco Bay Area, CA

15d ago

$166k - $264k/yr Full time Agentic Ai Ai Guided Robotics APIs

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Job Description

Cerence AI in the San Francisco Bay Area offers a remote-friendly Principal Software Engineer role focused on the application and cognitive layers of its humanoid robot platform. In this position you will shape advanced voice applications, multi-modal context systems, and core robot behavior logic that translate human intent into actionable tasks. The salary range for this role is USD 165,550 to 264,450 per year, and candidates should hold a Bachelor’s or Master’s degree with at least five years of professional software engineering experience.

Responsibilities

Design and implement upper-layer software, interaction workflows, and the robot's behavioral state machines.
Develop the central orchestration that converts spoken language, gestures, environmental cues, and contextual signals into deterministic robotic tasks.
Fuse multi-modal inputs by integrating vision pipelines, object detection, scene understanding, spatial tracking, and voice interactions for contextual awareness.
Create robust voice applications handling speech-to-text, natural language understanding, dialog management, wake-word detection, and text-to-speech interfaces.
Build orchestration workflows that combine LLMs, VLMs, memory systems, tool calling, reasoning engines, and robotic capabilities.
Consume and coordinate navigation, manipulation, perception, and device-control services exposed by the robotics platform.
Optimize software for low-latency edge execution while leveraging cloud-based AI services as needed.
Integrate robots with mobile devices, smart home ecosystems, enterprise applications, and cloud APIs.
Contribute telemetry, logging, and evaluation mechanisms to support continuous model improvement.
Support testing, observability, CI/CD practices, and production deployment readiness.

Requirements

Experience with orchestration and logic frameworks such as BehaviorTree.CPP, state machines, workflow engines, or task-planning architectures.
Hands-on work with cognitive AI and agent systems, including LLMs, VLMs, tool-calling architectures, agent frameworks, RAG systems, or semantic memory platforms.
5+ years of professional software engineering experience using Python and/or C++.
Proven ability to design scalable application-layer software, API-driven systems, distributed services, and event-driven architectures.
Experience optimizing software on resource-constrained edge hardware with intermittent connectivity.
Experience integrating cloud AI services, model serving platforms, and containerized deployments.
Commitment to automated testing, debugging, monitoring, observability, and CI/CD practices.
Experience designing natural, context-aware human-machine interactions.
Education: Bachelor’s or Master’s degree.

Technologies

BehaviorTree.CPP
Python
C++
ROS2
Docker
Kubernetes
OTA updates
Whisper
Deepgram
Azure Speech
ElevenLabs
AWS Speech Services

Benefits

Annual bonus opportunity
Health insurance
Dental insurance
Vision insurance
Disability insurance
Life insurance
Health savings account
Paid time off
Paid holidays
Company contribution to the RRSP
Equity awards for certain positions and levels
Remote and/or hybrid work available depending on the position
401(k)
Parental leave

Your Impact

You will build software that powers the next generation of intelligent humanoid robots, concentrating on Voice AI, Agentic AI, LLMs, VLMs, and physical AI products. Collaboration spans robotics, conversational AI, embedded systems, and cloud computing, with your work deployed in real-world robotic environments.

Why Join the Team

Build software powering the next generation of intelligent humanoid robots.
Engage across Voice AI, Agentic AI, Physical AI, and Conversational Systems.
Collaborate with experts in speech, AI, robotics, cloud, and embedded systems.
Help shape the future of human-machine interaction.

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1mo ago

Automation Application Engineer

Jennmar Automation Wyoming, MI

Wyoming, MI

1mo ago Closed

Full time Ai Guided Robotics Allen-Bradley AutoCAD

This position is no longer accepting applications (closed Jul 20, 2026).

Job Description

Responsibilities

Robotic System Design & Application: Create concepts and layouts for automation tasks including pick-and-place, palletizing, welding, material handling, assembly, bin picking, and packaging; select suitable robots, end-of-arm tooling (EOAT), vision systems, and safety devices.
Technical Proposals & Quotations: Produce comprehensive proposals and quotations covering robot programs and concepts, cycle-time analyses, CAD-based layouts, risk assessments, cost estimates, and integration plans with PLCs, conveyors, and other automation equipment.
Customer & Sales Support: Act as the technical authority for the sales team, participating in customer meetings, site visits, and presentations to capture requirements and demonstrate robotic solutions; translate client needs into robust automation applications.
Feasibility & Optimization: Conduct reach and payload analyses, cycle-time simulations, and ROI evaluations, ensuring solutions meet safety standards (such as RIA), quality, and throughput targets.
Technology Expertise: Maintain up-to-date knowledge of cobots, machine vision, AI-guided robotics, and Industry 4.0 integration technologies.

Requirements

3–8+ years in robotic applications, automation engineering, or related roles. Hands-on experience with industrial robots is essential, with FANUC strongly preferred in the region, plus ABB, UR, and other brands.
Bachelor’s degree in Mechanical Engineering, Mechatronics, Robotics, or Electrical Engineering.

Technologies

FANUC
ABB
Universal Robots
FANUCRoboGuide
ABBRobotStudio
Cognex
Rockwell Automation
Siemens
AutoCAD
SolidWorks
offline programming software

Benefits

Health insurance (Medical) with a standard PPO plan and deductibles as low as $1,500; wellness credit up to $750
401(k) with company match up to 12%
Dental insurance
Vision insurance
Telemedicine services
Life insurance (basic)
Short-term disability insurance

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Ai Guided Robotics Engineer Jobs

Robotics AI Engineer

Principal Software Engineer – Robot Applications & Voice AI

Automation Application Engineer

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