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Nerf Jobs (NOW HIRING)

Research Scientist, Neural Reconstruction

OR · On-site +1

$155K - $269K/yr

This role focuses on 3D/4D neural reconstruction and rendering, including 3DGS/NeRF, neural scene representation, and generalizable reconstruction models. Your work will directly power Waabi World ...

Entry-Level Support Technician

Worcester, MA · On-site

$21.50 - $29.50/hr

Required : • Entry-level IT experience • Demonstrated ability to communicate, present and influence credibly and effectively at all levels of the organization • Ability to swat away a nerf dart ...

Senior Java Engineer

Fort Collins, CO · On-site

$56.50 - $72.25/hr

Fun Environment: We're a close-knit group that likes to make work fun - we have an open office with great views, fantastic brews and even nerf gun battles every now and then Role: Key factors for ...

You will work on shipping next-generation simulation software which mixes traditional real-time rendering with NeRF, 3D Gaussian Splatting, diffusion models, etc. - Collaborate with Waabi's autonomy ...

Required : • Entry-level IT experience • Demonstrated ability to communicate, present and influence credibly and effectively at all levels of the organization • Ability to swat away a nerf dart ...

You will work on shipping next-generation simulation software which mixes traditional real-time rendering with NeRF, 3D Gaussian Splatting, diffusion models, etc. - Collaborate with Waabi's autonomy ...

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Nerf information

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$7

$16

$50

How much do nerf jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for nerf in the United States is $16.85, according to ZipRecruiter salary data. Most workers in this role earn between $10.10 and $17.79 per hour, depending on experience, location, and employer.

What is the difference between Nerf vs Airsoft Player?

AspectNerfAirsoft Player
Required EquipmentFoam blasters, safety glassesReplica guns, protective gear
Work EnvironmentIndoor and outdoor recreational areasOutdoor fields, military simulation sites
Industry UsageToy and recreational industrySports, military simulation, hobbyist
Common Search/ComparisonYesYes

While Nerf involves foam blasters for casual play, Airsoft players use replica guns for more realistic combat simulations. Nerf is primarily a toy for all ages, whereas Airsoft is a sport requiring specific gear and safety precautions. Both are popular in recreational settings but differ significantly in equipment and intensity.

What are Nerf jobs?

Nerf jobs typically refer to careers related to the popular Nerf brand, which produces foam-based toy blasters and other products. Jobs in this field can range from product design and engineering to marketing, sales, and event coordination for Nerf-related activities. Employees may work for Hasbro, the parent company of Nerf, or at companies that organize Nerf-themed events and experiences. These roles often require creativity, an understanding of toy safety standards, and a passion for fun, active play.

What are the key skills and qualifications needed to thrive as a Nerf product designer, and why are they important?

To thrive as a Nerf product designer, you need a background in industrial design, engineering, or toy design, often supported by a relevant degree. Familiarity with CAD software, rapid prototyping tools, and knowledge of safety standards are typically required. Creativity, teamwork, and strong communication skills help you collaborate with cross-functional teams and bring innovative ideas to life. These skills are vital to ensure the design of fun, safe, and engaging products that appeal to the target market.

What are some common challenges faced when working as a Nerf product designer, and how can these be addressed?

As a Nerf product designer, one of the main challenges is balancing innovative ideas with safety and manufacturing constraints. Designers must ensure that new blaster concepts are exciting and fun for users, while rigorously meeting safety standards and keeping production costs reasonable. Collaboration with engineers, safety experts, and marketing teams is essential to refine concepts, test prototypes, and adapt designs based on feedback. Staying up-to-date on industry trends and actively seeking user input can help address these challenges and lead to successful product launches.
More about Nerf jobs
What cities are hiring for Nerf jobs? Cities with the most Nerf job openings:
What are the most commonly searched types of Nerf jobs? The most popular types of Nerf jobs are:
What states have the most Nerf jobs? States with the most job openings for Nerf jobs include:
Infographic showing various Nerf job openings in the United States as of May 2026, with employment types broken down into 59% Full Time, and 41% Part Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $35,050 per year, or $16.9 per hour.

Research Scientist, Neural Reconstruction

Waabi

San Francisco, CA • On-site, Remote

$155K - $269K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 11 days ago


Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

Waabi World depends on accurate, scalable, and efficient reconstruction of the 3D/4D physical world from real-world sensor data. As a Research Scientist in Neural Reconstruction, you will develop the next generation of neural scene-representation and reconstruction algorithms that transform sparse, noisy, and partially observed driving data into realistic and controllable digital worlds.


This role focuses on 3D/4D neural reconstruction and rendering, including 3DGS/NeRF, neural scene representation, and generalizable reconstruction models. Your work will directly power Waabi World's ability to build high-fidelity scene assets, recover geometry and dynamics from sensor data, and support realistic simulation and rendering at scale.

You will...

- Conduct fundamental and applied research in neural reconstruction, including:

3DGS / NeRF

Dynamic scene reconstruction

Feed-forward reconstruction

Multi-sensor scene representation learning 

- Build scalable reconstruction and simulation systems for dynamic urban scenes, including vehicles, background, lighting, and long-range structure.

- Collaborate with simulation engineers to integrate models into large-scale, distributed training and rendering pipelines.

- Publish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH).

- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.

- Stay current with emerging advances in neural rendering, 3D representation learning, differentiable rendering, and scalable reconstruction systems.

Qualifications:

- Demonstrated technical innovation:  You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field..

- Strong prototyping and implementation:  You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training.

- Expert domain knowledge: You have built  generative or predictive models of the physical world with scale and efficiency in mind for real-world applications

- Team player:  You have worked in a close-knit team of researchers and engineers and have strong communication  to deliver successful projects. 

Bonus:

- Proven ability to translate research into production-quality code and measurable product impact.

- Demonstrated first-author publications in top-tier venues on topics such as:

3DGS / NeRF / neural rendering

3D / 4D reconstruction

Generalizable reconstruction

Geometry-aware or multi-sensor representation learning

- Experience working with camera, LiDAR, maps, and large-scale driving datasets.

- Strong background in graphics, geometry, rendering systems, or simulation.

The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
 

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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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