Core Experience: 10+ years in complex cyber-physical systems, with 4-5 years specializing in robotics, autonomous systems, or high-performance edge AI platforms. * BS in Engineering, Computer Science ...
Core Experience: 10+ years in complex cyber-physical systems, with 4-5 years specializing in robotics, autonomous systems, or high-performance edge AI platforms. * BS in Engineering, Computer Science ...
Experience with automation tools (e.g., RPA, workflow orchestration tools). * Familiarity with ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Experience with automation tools (e.g., RPA, workflow orchestration tools). * Familiarity with ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Experience with automation tools (e.g., RPA, workflow orchestration tools). * Familiarity with ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Experience with automation tools (e.g., RPA, workflow orchestration tools). * Familiarity with ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Experience with automation tools (e.g., RPA, workflow orchestration tools). * Familiarity with ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Experience with automation tools (e.g., RPA, workflow orchestration tools). * Familiarity with ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Experience with automation tools (e.g., RPA, workflow orchestration tools). * Familiarity with ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Experience with automation tools (e.g., RPA, workflow orchestration tools). * Familiarity with ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Experience with automation tools (e.g., RPA, workflow orchestration tools). * Familiarity with ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Experience with automation tools (e.g., RPA, workflow orchestration tools). * Familiarity with ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Experience with automation tools (e.g., RPA, workflow orchestration tools). * Familiarity with ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Experience with automation tools (e.g., RPA, workflow orchestration tools). * Familiarity with ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Experience with automation tools (e.g., RPA, workflow orchestration tools). * Familiarity with ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Experience with automation tools (e.g., RPA, workflow orchestration tools). * Familiarity with ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Experience with automation tools (e.g., RPA, workflow orchestration tools). * Familiarity with ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Experience with automation tools (e.g., RPA, workflow orchestration tools). * Familiarity with ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Experience with automation tools (e.g., RPA, workflow orchestration tools). * Familiarity with ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Experience with automation tools (e.g., RPA, workflow orchestration tools). * Familiarity with ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Experience with automation tools (e.g., RPA, workflow orchestration tools). * Familiarity with ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Experience with automation tools (e.g., RPA, workflow orchestration tools). * Familiarity with ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Experience with automation tools (e.g., RPA, workflow orchestration tools). * Familiarity with ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Experience with automation tools (e.g., RPA, workflow orchestration tools). * Familiarity with ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Field Application Engineer - Peoria, AZ - Temporary Part Time
Peoria, AZ · On-site
$21 - $25/hr
Field Application Engineer Location: Peoria, AZ US Work type: Full time Who are We ... Field AI is transforming how robots interact with the real world. We are building risk-aware ...
Field Application Engineer - Peoria, AZ - Temporary Part Time
Peoria, AZ · On-site
$21 - $25/hr
Field Application Engineer Location: Peoria, AZ US Work type: Full time Who are We ... Field AI is transforming how robots interact with the real world. We are building risk-aware ...
Field Application Engineer - Peoria, AZ - Temporary Part Time
Peoria, AZ · On-site
$21 - $25/hr
Field Application Engineer Location: Peoria, AZ US Work type: Full time Who are We ... Field AI is transforming how robots interact with the real world. We are building risk-aware ...
Field Application Engineer - Peoria, AZ - Temporary Part Time
Peoria, AZ · On-site
$21 - $25/hr
Field Application Engineer Location: Peoria, AZ US Work type: Full time Who are We ... Field AI is transforming how robots interact with the real world. We are building risk-aware ...
Field Application Engineer - Peoria, AZ - Temporary Part Time
Peoria, AZ · On-site
$21 - $25/hr
Field Application Engineer Location: Peoria, AZ US Work type: Full time Who are We ... Field AI is transforming how robots interact with the real world. We are building risk-aware ...
Quick apply
Field Application Engineer - Peoria, AZ - Temporary Part Time
Peoria, AZ · On-site
$21 - $25/hr
Field Application Engineer Location: Peoria, AZ US Work type: Full time Who are We ... Field AI is transforming how robots interact with the real world. We are building risk-aware ...
... engineering skills at the workplace. This role involves on-the-job learning where you will work ... AI helps assess applications and qualifications, but final decisions are made by our hiring team.
New
Quick apply
... engineering skills at the workplace. This role involves on-the-job learning where you will work ... AI helps assess applications and qualifications, but final decisions are made by our hiring team.
New
AI Enterprise Architect
Phoenix, AZ · On-site
$68.50 - $88.25/hr
As an AI Enterprise Architect, your role will be that of a business embedded technologist ... engineering, system analysis, Artificial Intelligence & Robotics or a related study, or equivalent ...
New
Quick apply
AI Enterprise Architect
Phoenix, AZ · On-site
$68.50 - $88.25/hr
As an AI Enterprise Architect, your role will be that of a business embedded technologist ... engineering, system analysis, Artificial Intelligence & Robotics or a related study, or equivalent ...
New
Principal Engineer, Digital Design Engineer (AI/ML)
Chandler, AZ · On-site
$120 - $150/hr
... robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in ... Apply AI/ML methodologies to improve synthesis results, timing closure, power estimation, and ...
Principal Engineer, Digital Design Engineer (AI/ML)
Chandler, AZ · On-site
$120 - $150/hr
... robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in ... Apply AI/ML methodologies to improve synthesis results, timing closure, power estimation, and ...
AI Enterprise Architect
Phoenix, AZ · On-site
$120K - $200K/yr
AI Enterprise Architect Overview: As an AI Enterprise Architect, your role will be that of a ... engineering, system analysis, Artificial Intelligence & Robotics or a related study, or equivalent ...
AI Enterprise Architect
Phoenix, AZ · On-site
$120K - $200K/yr
AI Enterprise Architect Overview: As an AI Enterprise Architect, your role will be that of a ... engineering, system analysis, Artificial Intelligence & Robotics or a related study, or equivalent ...
CNC Controls Engineer
Mesa, AZ · On-site
By combining AI, advanced software, robotics, and full-stack manufacturing, we help aerospace and ... The Role Hadrian's Controls Engineering team develops 0-1 automation solutions to supercharge the ...
CNC Controls Engineer
Mesa, AZ · On-site
By combining AI, advanced software, robotics, and full-stack manufacturing, we help aerospace and ... The Role Hadrian's Controls Engineering team develops 0-1 automation solutions to supercharge the ...
Trainee Ai Robotics Engineer information
What is the difference between Trainee Ai Robotics Engineer vs Junior Ai Robotics Developer?
| Aspect | Trainee Ai Robotics Engineer | Junior Ai Robotics Developer |
|---|---|---|
| Qualifications | Typically pursuing or recently completed relevant degrees or certifications | Entry-level professional with some practical experience or internships |
| Work Environment | Training programs, supervised projects, academic settings | Development teams, labs, or tech companies |
| Responsibilities | Learning, assisting in projects, basic coding and testing | Implementing algorithms, coding, debugging, and project contributions |
In summary, a Trainee Ai Robotics Engineer is usually in a learning phase, focusing on gaining skills and knowledge, while a Junior Ai Robotics Developer has begun applying their skills in real-world projects with more responsibilities.
What are the most commonly searched types of Ai Robotics Engineer jobs in Arizona?
The most popular types of Ai Robotics Engineer jobs in Arizona are:
What cities in Arizona are hiring for Trainee Ai Robotics Engineer jobs?
Cities in Arizona with the most Trainee Ai Robotics Engineer job openings:
Full-time
Medical, Retirement, PTO
Posted 7 days ago
Intel rating
8.7
Based on 147 frontline employees who took The Breakroom Quiz
18th of 161 rated electronics manufacturers
Job description
The Role and Impact
This role serves as the authoritative systems architect owning the end-to-end hierarchical stack for next-generation humanoid robots. Acting as the critical interface between large-scale vision-language-action (VLA) models and physical platforms, this senior leader defines hierarchical multi-system architecture requirements and drives the co-optimization of advanced AI models with physical hardware under tight power, thermal, latency, and memory-bandwidth constraints.
Key Responsibilities
- Humanoid Robotic System Architecture Ownership: Own the canonical hierarchical control stack, including VLM/VLA systems, visuomotor policies, whole-body control, and distributed joint FOC loops. You will also establish rate boundaries, latency budgets, action-chunking strategies, and select interconnect topologies (e.g., EtherCAT).
- AI Model Optimization for Silicon: Drive co-optimization of large VLA/world models with compute silicon. Define quantization, sparsity/MoE, context lengths, and reference deployment envelopes to align model workloads with silicon capabilities.
- Co-Optimized Model + Hardware Architecture: Perform first-principles sizing of FLOPs, sustained TOPS, and memory-bandwidth floors. Select optimal compute platforms and design strategic splits of AI workloads between central compute nodes and remote sensor pods.
- Key Deliverables with Cross-Functional Impact
- Technical Leadership and Specifications: Author and maintain primary system-level specifications (compute, power, thermal, sensors, actuator networks, safety islands) and translate high-level product goals into actionable, quantitative requirements. Guide evolution of relevant technology roadmaps from current baselines to future system concepts that would influence product definition.
- Cross-Functional Authority: Lead multi-disciplinary architecture reviews, key decisions, and subsystem design trades across ML research, controls, electrical, firmware, and mechanical teams.
- Collaborative Experimentation and Mentorship: Formulate and guide expert-led viability experiments. Mentor senior engineers in system-level thinking, addressing critical hardware barriers like the memory and power walls, and represent the platform architecture with key external silicon and actuator partners.
- Architectural Expertise: Proven ownership of architectures bridging high-level AI models with real-time hardware control, alongside deep fluency in transformer inference constraints (quantization, action chunking, memory bandwidth walls) and real-time distributed systems (EtherCAT, zonal sensor pods, safety islands).
- Exceptional technical communication with a track record of writing rigorous, quantitative system specs and driving alignment across diverse engineering domains.
Minimum Qualifications:
- Core Experience: 10+ years in complex cyber-physical systems, with 4-5 years specializing in robotics, autonomous systems, or high-performance edge AI platforms.
- BS in Engineering, Computer Science, Math, or related field is required.
Preferred Assets: Direct experience with humanoid robots/mobile manipulators, hands-on exposure to VLA/foundation models (-series, Helix-class, GR00T, OpenVLA, or equivalent), expertise with robotics platforms (NVIDIA Jetson / IGX platforms, custom AI silicon, or both), and battery/thermal budgeting for highly constrained systems.
Join us in this exciting opportunity to lead the innovation and development of transformative platforms that set industry benchmarks and drive Intel's vision for next-generation computing experiences.
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $220,920.00-361,480.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.*
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.About Intel
Sourced by ZipRecruiter
Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth
Industry
Manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Clara, CA, US
Year founded
1968