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Aligner Design Jobs (NOW HIRING)

Hirevouch

Forward Deployed Engineer

San Francisco, CA · On-site +1

$134K - $162K/yr

Specialized data labeling through Aligner, leveraging subject matter experts for next-generation AI ... Design and Operate Human Data Pipelines : Build scalable, high-quality data pipelines to power next ...

Coherent

Wafer Fab Technician

Fremont, CA

This design provides our customers with the most advanced, robust, and cost-competitive laser ... Photolithography (aligner, stepper, cluster coater, developer, asher) * Wet etch (semi-automated ...

Coherent Corp.

Wafer Fab Technician

Fremont, CA · On-site

This design provides our customers with the most advanced, robust, and cost-competitive laser ... Photolithography (aligner, stepper, cluster coater, developer, asher) * Wet etch (semi-automated ...

Coherent

Wafer Fab Technician

Fremont, CA · On-site

This design provides our customers with the most advanced, robust, and cost-competitive laser ... Photolithography (aligner, stepper, cluster coater, developer, asher) * Wet etch (semi-automated ...

II-VI Incorporated

Wafer Fab Technician

Fremont, CA

This design provides our customers with the most advanced, robust, and cost-competitive laser ... Photolithography (aligner, stepper, cluster coater, developer, asher) * Wet etch (semi-automated ...

Coherent Corp.

Wafer Fab Technician

Fremont, CA · On-site

This design provides our customers with the most advanced, robust, and cost-competitive laser ... Photolithography (aligner, stepper, cluster coater, developer, asher) * Wet etch (semi-automated ...

II-VI Incorporated

Wafer Fab Technician

Fremont, CA

This design provides our customers with the most advanced, robust, and cost-competitive laser ... Photolithography (aligner, stepper, cluster coater, developer, asher) * Wet etch (semi-automated ...

Coherent Corp.

Wafer Fab Technician

Fremont, CA · On-site

This design provides our customers with the most advanced, robust, and cost-competitive laser ... Photolithography (aligner, stepper, cluster coater, developer, asher) * Wet etch (semi-automated ...

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All JobsAligner Design Jobs

Aligner Design information

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$14

$27

$44

How much do aligner design jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for aligner design in the United States is $27.99, according to ZipRecruiter salary data. Most workers in this role earn between $21.88 and $31.73 per hour, depending on experience, location, and employer.

What is the difference between Aligner Design vs Orthodontic Technician?

AspectAligner DesignOrthodontic Technician
CredentialsDental or lab technician certification, CAD/CAM skillsDental technician certification, lab experience
Work EnvironmentDental labs, CAD software, digital designDental labs, manual and digital fabrication
Industry UsageDesigning clear aligners and orthodontic appliancesFabricating orthodontic devices and appliances

Aligner Design professionals focus on creating digital models and designing clear aligners using CAD software, while Orthodontic Technicians primarily fabricate orthodontic appliances based on dental prescriptions. Both roles require technical skills and work within dental labs, but Aligner Design emphasizes digital design, whereas Orthodontic Technicians focus on physical fabrication.

What are some common challenges faced by professionals in Aligner Design, and how can they be addressed?

Professionals in Aligner Design often encounter challenges such as balancing patient-specific customization with efficient production workflows and keeping up with rapidly evolving digital orthodontic technologies. To address these, it's essential to stay updated on the latest software tools, maintain close communication with orthodontists, and participate in ongoing training. Additionally, collaborating with multidisciplinary teams, including dental technicians and software engineers, can help streamline processes and improve design accuracy.

What is aligner design?

Aligner design refers to the process of creating custom clear aligners, which are orthodontic devices used to straighten teeth. Specialists use digital scans and computer software to plan tooth movements and design each stage of the aligners. The design process ensures that the aligners fit precisely and gradually shift teeth into their desired positions. This role requires a strong understanding of dental anatomy, orthodontic treatment planning, and advanced design software.

What are the key skills and qualifications needed to thrive as an Aligner Designer, and why are they important?

To thrive as an Aligner Designer, you need a background in dental technology or orthodontics, strong knowledge of dental anatomy, and experience with aligner treatment planning. Proficiency in CAD/CAM software (such as 3Shape or Exocad), 3D modeling, and digital impression systems is typically required. Attention to detail, problem-solving, and effective communication with dental professionals are crucial soft skills. These abilities ensure precise, effective aligner designs that lead to successful patient outcomes and efficient collaboration with dental teams.
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Aligner Design jobs near you
Infographic showing various Aligner Design job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $58,220 per year, or $28 per hour.
Senior Software Engineer, RL Post-Training Frameworks

Senior Software Engineer, RL Post-Training Frameworks

Nvidia Corporation

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Posted 3 hours ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

Reinforcement learning post-training is driving some of the most significant capability gains in AI today. It is the process that teaches a model to reason through hard problems, follow complex instructions, and act as an autonomous agent. It is also one of the hardest infrastructure challenges in the field. RL requires inference, rollout generation, and training running in a continuous loop. The rollout step is what makes it hard: the model must interact with environments, tools, and other models to produce the signal that drives learning. Coordinating actor, critic, and reward models across heterogeneous hardware at scale pushes the limits of what distributed systems can do.
NVIDIA is building an RL Frameworks engineering team to develop the open-source tools and infrastructure that AI researchers and post-training teams depend on. The team spans the full software stack, from collaborating closely with the researchers and labs pushing the frontier, to contributing to RL frameworks like VeRL, Miles, and TorchTitan, to improving the distributed runtimes they depend on, including Ray and Monarch. Whether your strength is working with researchers to understand and address their need optimizing deep learning frameworks, or building distributed infrastructure, we want to hear from you. Come join us to build the systems that enable the next generation of AI.
What you will be doing:
You will architect and build RL post-training infrastructure that scales efficiently from experimentation on a single GPU to production across thousands of nodes. This means tuning RL training-inference-rollout loops on GPUs, CPUs, and LPUs for performance where it matters, contributing to and improving the performance and usability of open-source RL frameworks, and partnering with the teams who own them. The role also spans fault tolerance, elastic scaling, and fast restarts so long-running distributed training jobs survive failures, stragglers, and resource contention.
Beyond GPU-accelerated training, this work includes partnering with teams building CPU-driven rollout workloads, including tool-use, code execution, and agentic environments, supplying the systems and framework engineering needed to run them efficiently alongside GPU- or LPU-accelerated generation and GPU-accelerated training. It also means advocating for researcher and partner needs with NVIDIA's networking, math library, and compiler teams so the capabilities RL workloads require get prioritized and delivered, and working with hardware teams to take advantage of next-generation hardware capabilities in post-training workloads.
What we need to see:
  • MS or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience)
  • 5+ years of professional experience in distributed systems, high-performance computing, deep learning infrastructure, or ML systems engineering
  • Strong proficiency in Python and C/C++
  • Demonstrated experience building or contributing to large-scale distributed systems or runtime frameworks in production at a frontier AI lab, hyperscaler, or major technology company
  • Strong verbal and written communication skills and the ability to collaborate across organizational and geographic boundaries

Depth in one or more of the following technical areas:
  • Reinforcement learning for LLM post-training (RLHF, PPO, GRPO, DPO, reward modeling), including how algorithms map to distributed execution and the systems challenges they create (heterogeneous placement, rollouts, environment execution, resharding between training and generation)
  • PyTorch internals, including distributed training primitives (FSDP, tensor parallelism, pipeline parallelism) and their composition
  • Kubernetes runtime internals (container lifecycle, pod scheduling, resource quotas, GPU allocation)
  • End-to-end distributed systems design (service boundaries, data flows, consistency models, failure modes, recovery approaches)

Experience in any of the following areas is a plus:
  • Deep expertise in networking (NCCL, NVLink, InfiniBand), advanced multi-dimensional parallelisms (Megatron-LM, FSDP2, TP/DP/PP, MoE), or memory optimizations (quantization-aware training, mixed precision)
  • Experience integrating high-performance inference engines (vLLM, SGLang, TensorRT-LLM) into RL training loops for GPU-accelerated rollout
  • Strong background in actor- and task-based distributed programming (Ray, Monarch, or comparable systems)
  • Familiarity with multi-turn training, multi-agent co-evolution, or VLM post-training

Ways to stand out from the crowd:
  • Open-source contributions to RL post-training or distributed training projects (e.g., VeRL, Miles, TorchTitan, OpenRLHF, NeMo-Aligner, DeepSpeed-Chat), including significant work on framework internals where applicable
  • Kubernetes work beyond routine operations (custom operators, GPU device plugins, or scheduling contributions)
  • Direct experience operating frontier-scale training (RL post-training at thousands of GPUs and/or large-scale LLM or multimodal pre-training)
  • Hands-on experience with production distributed failures at scale (stragglers, resource contention, hardware faults)

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 27, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Hours and flexibility

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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