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Full Time Warp Jobs (NOW HIRING)

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Set-Up Operator B Camden, SC

Camden, SC · On-site

Job Type Full-time Description Reporting to the Extrusion Supervisor the successful candidate will ... gauge, warp gauge, tape gun, stapler) * 5S/Lean Manufacturing/Kanban * Working knowledge of ...

SAIC

Digital Engineer

El Segundo, CA · On-site +1

$120K - $160K/yr

Digital Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance ... Advanced development skills with Palantir Foundry Warp Core. * AI/ML skills and experience applying ...

Solutions Heat Treating LLC

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Experienced Metal Straightener

Detroit, MI · On-site

$27 - $38/hr

We are looking for a Full Time Experienced Metal Straightener to join our team! Location : Shelby ... 69 Rockwell C can introduce warp and distortion. You'll correct it using hand presses ...

Solutions Heat Treating LLC

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Experienced Metal Straightener

Kingsford, MI · On-site

$27 - $38/hr

We are looking for a Full Time Experienced Metal Straightener to join our team! Location : Shelby ... 69 Rockwell C can introduce warp and distortion. You'll correct it using hand presses ...

Solutions Heat Treating LLC

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Experienced Metal Straightener

Shelby Township, MI · On-site

$27 - $38/hr

We are looking for a Full Time Experienced Metal Straightener to join our team! Location : Shelby ... 69 Rockwell C can introduce warp and distortion. You'll correct it using hand presses ...

Solutions Heat Treating LLC

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Experienced Metal Straightener

Shelby Township, MI · On-site

$27 - $38/hr

We are looking for a Full Time Experienced Metal Straightener to join our team! Location : Shelby ... 69 Rockwell C can introduce warp and distortion. You'll correct it using hand presses ...

Solutions Heat Treating LLC

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Experienced Metal Straightener

Detroit, MI · On-site

$27 - $38/hr

We are looking for a Full Time Experienced Metal Straightener to join our team! Location : Shelby ... 69 Rockwell C can introduce warp and distortion. You'll correct it using hand presses ...

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Full Time Warp information

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$9

$22

$95

How much do full time warp jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for full time warp in the United States is $22.53, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Full Time Warp vs Part Time Warp?

AspectFull Time WarpPart Time Warp
Work HoursTypically 35-40 hours per weekLess than 30 hours per week
CredentialsUsually requires specialized training or certificationMay require similar credentials but often less intensive
Work EnvironmentOffice or studio setting, consistent scheduleFlexible, variable schedule, often remote
Industry UsageCommon in creative, tech, and entertainment sectorsUsed in freelance, part-time roles in same industries

Full Time Warp involves a standard, full-week schedule with consistent hours, often requiring specific credentials. Part Time Warp offers flexible hours with similar roles but fewer hours per week. Both are used across creative and tech industries, but Full Time Warp provides more stability and benefits, while Part Time Warp offers flexibility for different lifestyles.

What are the most commonly searched types of Warp jobs?

The most popular types of Warp jobs are:

What job categories do people searching Full Time Warp jobs look for?

The top searched job categories for Full Time Warp jobs are:

Full Time Warp jobs near you
Infographic showing various Full Time Warp job openings in the United States as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $46,859 per year, or $22.5 per hour.

AI Training Infrastructure Engineer - Humanoid Whole Body Control

Figure

San Jose, CA • On-site

$150K - $300K/yr

Full-time

Re-posted 4 days ago

Job description

Figure is an AI Robotics company autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. We are based in North San Jose, CA and require 5 days/week in-office collaboration. It's time to build.
We're looking for an engineer to own the training and deployment backbone behind our RL-based whole-body control systems. This role sits at the intersection of robotics, machine learning, controls, and software systems engineering, and is critical to how quickly we can iterate, train, and deploy new capability to our fleet of humanoid robots.
Key Responsibilities:
  • Own and scale the infrastructure used to train whole-body control policies (simulation, data pipelines, orchestration, visualizations)
  • Design systems that are fast, reliable, and highly configurable for our controls engineers
  • Ensure high cluster utilization and minimal downtime-unblocking the team and accelerating iteration cycles
  • Evaluate and integrate physics engines, simulation environments, and parameterizations to balance realism and training speed
  • Optimize hyperparameters and infrastructure to maximize training speed and efficiency and final model performance
  • Build robust tooling to take policies from training → validation → deployment on hardware

Requirements:
  • Strong software engineering fundamentals with production experience in Python and PyTorch
  • Experience building or scaling training infrastructure for robotics, control systems, or large-scale ML workloads
  • Familiarity with physics simulation tools such as NVIDIA PhysX, MuJoCo, Warp, or PyBullet
  • Working knowledge of dynamics, controls, and robotics systems
  • Experience with reinforcement learning, imitation learning, or policy distillation
  • Strong ownership mindset-you own systems that your teammates rely on every day
  • Experience modeling contact interactions and photorealistic simulation environments for complex manipulation tasks

Bonus Qualifications:
  • Experience with humanoid or legged robot control
  • Background in distributed systems, job schedulers, or cluster management
  • Experience deploying ML models or control policies to real-world systems

The US base salary range for this full-time position is between $150,000 and $300,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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