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Temporary Fanuc Robot Programming Jobs in Washington

... Engineering, and/or similar degree, or equivalent practical experience * Understanding of robotics ... Pay within range listed above + temporary benefits package (applicable after 60 days of employment ...

... Engineering, and/or similar degree, or equivalent practical experience * Understanding of robotics ... Pay within range listed above + temporary benefits package (applicable after 60 days of employment ...

Surveillance-equipped vehicles, unmanned ground systems (e.g., robotic scouts), and autonomous ... TEMP), and Integrated Master Schedules (IMS) * Assist in the development of supporting ...

Surveillance-equipped vehicles, unmanned ground systems (e.g., robotic scouts), and autonomous ... TEMP), and Integrated Master Schedules (IMS) * Assist in the development of supporting ...

Showing results 41-60

Temporary Fanuc Robot Programming information

What is the difference between Temporary Fanuc Robot Programming vs Temporary ABB Robot Programming?

AspectTemporary Fanuc Robot ProgrammingTemporary ABB Robot Programming
CredentialsTypically requires Fanuc-specific certifications or trainingRequires ABB-specific certifications or training
Work EnvironmentIndustrial settings with Fanuc robots, manufacturing plantsIndustrial settings with ABB robots, manufacturing plants
Industry UsageCommon in automotive, electronics, and general manufacturingCommon in automotive, electronics, and general manufacturing
Job FocusProgramming, testing, and troubleshooting Fanuc robotic systemsProgramming, testing, and troubleshooting ABB robotic systems

Temporary Fanuc Robot Programming and Temporary ABB Robot Programming roles share similar environments and industry applications but differ mainly in the robot brand expertise required. Candidates should have specific certifications for each brand to ensure proper programming and maintenance of the respective robotic systems.

What are the most commonly searched types of Fanuc Robot Programming jobs in Washington?

The most popular types of Fanuc Robot Programming jobs in Washington are:

What job categories do people searching Temporary Fanuc Robot Programming jobs in Washington look for?

The top searched job categories for Temporary Fanuc Robot Programming jobs in Washington are:

What cities in Washington are hiring for Temporary Fanuc Robot Programming jobs?

Cities in Washington with the most Temporary Fanuc Robot Programming job openings:

Staff Software Engineer, Perception (R5421)

Shield AI

Washington, DC

$195K - $292K/yr

Full-time

Posted 27 days ago


Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

The Hivemind Solutions Perception team develops the next generation of perception capabilities for autonomous systems by combining state-of-the-art machine learning with the proven foundations of computer vision. The team advances how autonomous platforms understand and interpret the world by developing vision, vision-language (VLM), and vision-language-action (VLA) models that tackle core perception challenges such as object understanding, scene interpretation, and mission-relevant environmental awareness. Working at the intersection of research and production, our engineers build the data pipelines, supervised fine-tuning (SFT) workflows, evaluation frameworks, and deployment infrastructure needed to transform cutting-edge AI research into reliable, mission-ready perception capabilities.
 
In this role, you'll lead the technical development of advanced machine learning solutions that define the future of perception for autonomous systems. You'll own the team's most challenging technical problems, drive architecture and model development across multiple efforts, and influence how foundation models are adapted, evaluated, and deployed for real-world autonomy. Working closely with researchers, perception engineers, autonomy engineers, and platform teams, you'll bridge cutting-edge AI research with scalable production systems while mentoring engineers and raising the technical bar across the organization.
What You'll Do:

Model Development - Design, train, fine-tune, and maintain state-of-the-art vision, vision-language, and vision-language-action models that improve perception and decision-making for autonomous systems. 

Data Pipelines & Model Training - Build scalable data pipelines, supervised fine-tuning (SFT) workflows, and evaluation loops that continuously improve model performance on mission-relevant tasks. 

Model Deployment & Optimization - Deploy and optimize machine learning models for embedded hardware using technologies such as ONNX, TensorRT, and hardware-accelerated inference frameworks. 

Perception & Autonomy Applications - Apply modern machine learning techniques to solve challenging perception and autonomy problems across aerial and other autonomous systems operating in complex, real-world environments. 

Research-to-Production - Translate cutting-edge machine learning research into production-ready capabilities by balancing model performance, robustness, computational efficiency, and operational reliability. 

Cross-functional Collaboration - Partner closely with perception, autonomy, platform, and software engineering teams to integrate machine learning capabilities into mission-ready autonomous systems. 

Model Evaluation & Validation - Develop benchmarks, testing methodologies, and evaluation frameworks to measure model performance, identify failure modes, and guide future improvements. 

Continuous Improvement - Improve training infrastructure, developer tooling, deployment workflows, and model lifecycle management to accelerate experimentation and production delivery. 

Required Qualifications:
  • Typically requires a minimum of 7 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or 4 years with a PhD; or equivalent work experience.

  • Expertise of machine learning fundamentals. 

  • Experience training an deploying ML models for computer vision in a production setting. 

  • Strong understanding of 3D vision problems/algorithms. 

  • Experience with machine learning frameworks such as PyTorch and TensorFlow. 

  • Demonstrated expertise in deploying models using TensorRT and ONNX. 

  • Proficiency in C++ and Python. 

  • Strong analytical and problem-solving skills, with the ability to translate research into practical applications. 

  • Ability to obtain a SECRET clearance 
Preferred Qualifications:
  • Experience with developing autonomous systems for defense customers. 

  • Experience with training/finetuning vision-language models, vision-language-action models, and/or world models.  

  • Contributions to open-source projects in machine learning or computer vision. 

  • Track record of publications in leading computer vision and robotics conferences and journals (e.g., CVPR, ICCV/ECCV, RAL, ICRA).

$195,200 - $292,800 a year
#LI-DS-1
#LD

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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