5,259 Quantum Mechanics jobs in the United States

**Description:** The Lockheed Martin Solar and Astrophysics Laboratory (LMSAL) has an immediate opening for a Research Scientist to support existing science missions and to conduct research using the rich datasets of current and upcoming heliophysics missions. Current missions at LMSAL include the Multislit Solar Explorer (MUSE) and Extreme Ultraviolet Solar Telescope (EUVST), the Interface Region Imaging Spectrograph (IRIS), and the Solar Dynamics Observatory (SDO/AIA and HMI). LMSAL is a department of the Lockheed Martin Advanced Technology Center (ATC) in Palo Alto, CA.
The ATC is the research lab for LM Space, and the SS&I directorate within the ATC pursues fundamental space science research and the development of prototype flight instruments and payloads. The successful candidate will play a key scientific and/or technical role and will grow into a leadership role in Heliophysics Science as part of these teams.
Duties include support for design, integration and test of optical instruments (especially for EUV/UV imaging and spectroscopy, including MUSE); verification of optical performance, including calibration; test and verification of image stabilization systems; analysis of system performance, including effects of spacecraft charging, jitter, etc.; planning and conducting environmental and functional testing on instruments and payloads; and support for mission operations including science planning and analysis, data processing and calibration, and monitoring of calibration data/quality. The Research Scientist is also encouraged to conduct supporting research and/or to seek external funding to pursue research commensurate with their training and expertise.
**Basic Qualifications:**
- PhD degree in Heliophysics or related science/engineering discipline, preferably with application relevant to Heliophysics Science Focus areas.
- Demonstrated technical experience and the ability and willingness to work in technical teams.
- Experience with the execution of space science research programs.
- US citizenship or Green Card holder.
**Desired Skills:**
- Emerging leader in the Heliophysics Science technical professional community, based on publications, academic interfaces, and professional contacts, capable of being a Principal Investigator of Co-Investigator on NASA science contracts and/or missions.
- Experience with solar spectrographs, imagers, or analogous instrumentation. Design experience with and mission architectural knowledge of UV and EUV optical instruments.
- Mission experience and good technical familiarity with multiple heliophysics instrumentation or deep familiarity in one such technology demonstrated by publications, on-orbit instruments, and selected missions.
**Clearance Level:** None
**Other Important Information You Should Know**
**Expression of Interest:** By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.
**Ability to Work Remotely:** Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.
**Work Schedules:** Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
**Schedule for this Position:** 4x10 hour day, 3 days off per week
**Pay Rate:** The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $109,200 - $92,510. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. **Benefits offered:** Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible.
**Pay Rate:** The annual base salary range for this position in most major metropolitan areas in California and New York is 125,600 - 217,695. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. **Benefits offered:** Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. This position is incentive plan eligible.
**Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.**
**The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.**
Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They're dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about.
As a leading technology innovation company, Lockheed Martin's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories.
**Experience Level:** Experienced Professional
**Business Unit:** SPACE
**Relocation Available:** Possible
**Career Area:** Scientist
**Type:** Full-Time
**Shift:** First

**Description**
The Department of Physics at Carnegie Mellon University is seeking a Visiting Research Scientist for a full-time, fixed-term, 5-week appointment within the Condensed Matter research group under the supervision of Professor Michael Widom.
This temporary position is scheduled to begin on August 15, 2025, and conclude on September 20, 2025. The research project is to conduct research on the structure and thermodynamics of complex matter, including quasicrystals, glasses, and other materials.
**Qualifications**
Applicants must hold a Ph.D. in Physics or equivalent and must be an expert in the structure and thermodynamics of quasicrystals, glass, and other complex atomistic structures.
**Application Instructions**
Interested candidates should submit a CV through Interfolio. The evaluation of candidates will begin immediately and continue until the available position is filled.
**Equal Employment Opportunity Statement**
**Carnegie Mellon University** is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders. Consistent with this commitment, Carnegie Mellon will no longer be requiring or considering applicant diversity statements. If you are interested in this position and have not yet submitted a diversity statement, please do not do so. If you have already submitted a diversity statement, please know that any diversity statements submitted by applicants for this opportunity will not be considered in the hiring decision.

Description

Scientific Programmer - Hydrodynamic Modelling - NOAA Program

Norfolk, Virginia, Silver Spring, Maryland, or Seattle, Washington

@Orchard LLC is building a multi-faceted team to support the Office of Coastal Survey (OCS), located within the National Ocean Service (NOS) of NOAA. We are seeking talented professionals who will apply their capabilities to support a vital public mission and help shape the future of maritime science and safety.

About the role:

The Coast Survey Development Laboratory (CSDL), Coastal Marine Modeling Branch (CMMB), within OCS, is responsible for developing and maintaining national-scale, state-of-the-art, high-precision ocean models and for building an infrastructure for the nation's navigation community to access and readily use NOAA model results and data. Within CDSL, coastal inundation modeling is being performed by CSDL to support the development of new products and services for NOAA's storm surge enterprise.

@Orchard is looking for experienced Scientists to join the Storm Surge Modeling Team, to conduct modeling and analysis of hydrodynamic phenomena that contribute to coastal inundation (e.g., storm surge, tides, waves, river inflow).

Your responsibilities will include:
• Collaborate with CSDL personnel to develop and program coastal inundation models.
• Assist with performing analysis and evaluation of model outputs to ensure accuracy and reliability.
• Provide related technical support to enhance modeling capabilities and address identified application needs and issues.
• Test and evaluate model functionality for Unified Forecast System coupling and capabilities.
• Assist with engaging with stakeholders to discuss modeling techniques, evaluate real-time results, and develop or refine operational procedures.
• Assist with documenting work in reports or publications.

Your background will likely include:
• Education :

o PhD or Master's degree in coastal ocean science, numerical modeling, marine science, or related field. (education equivalency: 6 years' work experience)
• Experience :

o 4+ years in a technical scientific field, inclusive of graduate schoolwork related to coastal ocean science, numerical modeling, marine science, or related field.

o Experience working in a Linux environment.

o Experience working in a High Performance Computing (HPC) environment.

o Proficient in programming techniques, with expertise in at least one language such as Fortran, MATLAB, Python, or related languages.

o Working knowledge of code sharing tools such as GitHub.

o Experience with ocean models such as SCHISM, ADCIRC, Finite Volume Community Ocean Model (FVCOM), and Regional Ocean Modeling System (ROMS) is a significant plus.

o Demonstrated experience processing large volumes of information and datasets, including bathymetry, shorelin,e and oceanographic datasets, and using the information to create hydrodynamic model outputs.

o Ability to interact with all levels of management internally, as well as with customers and stakeholders externally.

o Strong communication skills, both verbal and written.

o Demonstrated a high level of problem analysis and resolution skills.

Compensation for the Hydrodynamic Modeling Scientist is based on experience and qualifications.

If you meet the requirements for this opportunity and believe you have the experience and talent to succeed in the role, we would like to hear from you.

Established in 2010, @Orchard LLC has an exceptional reputation, providing staffing solutions to time-sensitive, talent scarcity issues to deliver better talent management ROI. Our specialty lies in the critical area of program talent acquisition and resource management, not in one narrow skillset, but across many areas of technical and functional delivery. To learn more about our other exciting opportunities, visit our Jobs Page at

This is a post-doctoral fellow position. Under the mentorship of Dr. Jia Wu and Dr. Xinuning Le, the postdoctoral fellow will work on designated projects assigned by the mentor(s). the fellow will be responsible for the conception of the project, collecting primary data (including but not limited to chart review for genomic typing, response, and survival of lung cancer patients treated with various treatments, the input of histology and radionics data, genomics data), analyze results using mathematical and statistical tools, complies, writes and submits reports to mentor(s).
*LEARNING OBJECTIVES*
Under the mentorship of Dr. Jia Wu and Dr. Xinuning Le, the post-doctoral fellow will be working in a multi-disciplinary team with expertise in oncology, radiomics, and AI/Machine Learning. The fellow will gain knowledge in all three areas. The fellow will also develop independent research areas of interest with guidance from mentor(s).
Dr. Wu's laboratory: duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
*ELIGIBILITY REQUIREMENTS*
An individual holding a recent (within three years) Ph.D. or equivalent doctorate (e.g., Sc.D., M.D., D.V.M.) in an appropriate field who is seeking a temporary appointment under the supervision of a faculty mentor, involving full-time laboratory-based research or scholarship in preparation for an academic or research career as an independent investigator. This appointment is not part of a clinical training program; individuals holding an M.D. degree or equivalent are not permitted to engage in patient care activity.
*POSITION INFORMATION*
MD Anderson offers full-time postdoc positions with a tuition benefits, educational opportunities, and individual and team recognition.
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. MENTOR*
Dr. Jia Wu and Dr. Xinuning Le,

**Job Requisition ID #**
24WD83836
**Position Overview**
The Simulation, Optimization and Systems (SOS) group within Autodesk Research is seeking an exceptionally talented and experienced Scientific Leader to join our team. We are focused on advancing the state-of-the-art design tools to allow architects, artists, designers, and engineers to " _Make Anything_ ". Our research centers around generative methods for design and spans physics-based modeling, simulation, optimization and systems modeling. You will lead and help build build a group focusing on the future of physics informed AI. Your group will work closely experts in geometric modeling, simulation, systems, robotics, high-performance computing, machine learning, sensing, computer vision, industrial manufacturing and construction.
The Physics Informed AI group will be specifically focused on researching and implementing novel algorithms for physics informed machine learning for use in design and engineering tools. We are interested in a scientific leader to help guide and direct research into physics-based generative models, surrogate models, data assimilation & digital twins, physics-based reasoning and the interpretation of physical results using AI.
**Responsibilities**
+ Identify, recruit and hire a team of scientists in Physics Informed AI with a focus on design
+ Work closely with a multi-disciplinary team of research scientists and engineers to conceive, plan, develop, and implement scientific research projects
+ Direct & perform research on machine learning models combining physics simulation and measurement data
+ Manage a team, perform bi-annual evaluations, plan development, coach, mentor and connect your personnel to academic communities and throughout the company
+ Publish papers in peer-reviewed scientific journals/conferences
+ Supervise researchers, engineers and interns (undergrad, Masters, PhD or Post-docs)
+ Document and communicate the intent and the results of projects in clear terms to both technical and non-technical team audiences
+ Present research findings at conferences and participate in research collaborations with external research institutes and universities
+ Communicate and promote the use of research findings throughout Autodesk
+ Consult with product teams on the implementation of research findings into products
**Minimum Qualifications**
+ Ph.D. or MSc. 12+ years experience in Computer Science, Engineering, Physics or Applied Mathematics
+ Extensive experience with Physics Informed Machine learning models
+ Experience authoring physics-based solvers eg; fluids, thermal, structural, kinematic
+ Strong publication history in relevant conferences and journals
+ Proven track record as a practitioner of ML, creating, training and leading groups that can build and train models at scale
+ Excellent written and oral communication skills
+ Excellent knowledge of Numerical Methods
+ Ability to quickly learn new technologies and adapt to new situations
+ Ability to collaborate effectively with a diverse, multicultural global team of scientists, engineers and architects
**Preferred Qualifications**
+ Knowledge of geometry and topology
+ Experience training large-scale, multi-modal models and ensembles
+ Familiar with collaborative development environments and version control systems
+ Experience with:
+ 2D and 3D computer graphics programming
+ Visualization techniques
+ Bayesian statistics
+ NVIDIA Warp and/or JAX, NVIDIA Modulus or similar
+ Pytorch, Pytorch Lightning, Weights & Biases, Ray, AWS Sagemaker
+ Experience training diverse architectures: CNNs, GNNs, Diffusion models, Contrastive learning, Transformers, LLMs, RNNs etc. at scale
+ Koopman, DMD, SINDy, Fourier Neural Operators, PINNs etc.
+ Computer Vision
+ Python, C++, Rust
+ OpenMP, Clang, SIMD, etc.
**Learn More**
**About Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.
When you're an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!
**Salary transparency**
Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $199,900 and $323,400. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, we also have a significant emphasis on annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
**Equal Employment Opportunity**
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
**Diversity & Belonging**
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: you an existing contractor or consultant with Autodesk?**
Please search for open jobs and apply internally (not on this external site).

**Job Requisition ID #**
24WD83836
**Position Overview**
The Simulation, Optimization and Systems (SOS) group within Autodesk Research is seeking an exceptionally talented and experienced Scientific Leader to join our team. We are focused on advancing the state-of-the-art design tools to allow architects, artists, designers, and engineers to " _Make Anything_ ". Our research centers around generative methods for design and spans physics-based modeling, simulation, optimization and systems modeling. You will lead and help build build a group focusing on the future of physics informed AI. Your group will work closely experts in geometric modeling, simulation, systems, robotics, high-performance computing, machine learning, sensing, computer vision, industrial manufacturing and construction.
The Physics Informed AI group will be specifically focused on researching and implementing novel algorithms for physics informed machine learning for use in design and engineering tools. We are interested in a scientific leader to help guide and direct research into physics-based generative models, surrogate models, data assimilation & digital twins, physics-based reasoning and the interpretation of physical results using AI.
**Responsibilities**
+ Identify, recruit and hire a team of scientists in Physics Informed AI with a focus on design
+ Work closely with a multi-disciplinary team of research scientists and engineers to conceive, plan, develop, and implement scientific research projects
+ Direct & perform research on machine learning models combining physics simulation and measurement data
+ Manage a team, perform bi-annual evaluations, plan development, coach, mentor and connect your personnel to academic communities and throughout the company
+ Publish papers in peer-reviewed scientific journals/conferences
+ Supervise researchers, engineers and interns (undergrad, Masters, PhD or Post-docs)
+ Document and communicate the intent and the results of projects in clear terms to both technical and non-technical team audiences
+ Present research findings at conferences and participate in research collaborations with external research institutes and universities
+ Communicate and promote the use of research findings throughout Autodesk
+ Consult with product teams on the implementation of research findings into products
**Minimum Qualifications**
+ Ph.D. or MSc. 12+ years experience in Computer Science, Engineering, Physics or Applied Mathematics
+ Extensive experience with Physics Informed Machine learning models
+ Experience authoring physics-based solvers eg; fluids, thermal, structural, kinematic
+ Strong publication history in relevant conferences and journals
+ Proven track record as a practitioner of ML, creating, training and leading groups that can build and train models at scale
+ Excellent written and oral communication skills
+ Excellent knowledge of Numerical Methods
+ Ability to quickly learn new technologies and adapt to new situations
+ Ability to collaborate effectively with a diverse, multicultural global team of scientists, engineers and architects
**Preferred Qualifications**
+ Knowledge of geometry and topology
+ Experience training large-scale, multi-modal models and ensembles
+ Familiar with collaborative development environments and version control systems
+ Experience with:
+ 2D and 3D computer graphics programming
+ Visualization techniques
+ Bayesian statistics
+ NVIDIA Warp and/or JAX, NVIDIA Modulus or similar
+ Pytorch, Pytorch Lightning, Weights & Biases, Ray, AWS Sagemaker
+ Experience training diverse architectures: CNNs, GNNs, Diffusion models, Contrastive learning, Transformers, LLMs, RNNs etc. at scale
+ Koopman, DMD, SINDy, Fourier Neural Operators, PINNs etc.
+ Computer Vision
+ Python, C++, Rust
+ OpenMP, Clang, SIMD, etc.
**Learn More**
**About Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.
When you're an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!
**Salary transparency**
Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $199,900 and $323,400. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, we also have a significant emphasis on annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
**Equal Employment Opportunity**
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
**Diversity & Belonging**
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: you an existing contractor or consultant with Autodesk?**
Please search for open jobs and apply internally (not on this external site).

Job Requisition ID #

24WD83836

Position Overview

The Simulation, Optimization and Systems (SOS) group within Autodesk Research is seeking an exceptionally talented and experienced Scientific Leader to join our team. We are focused on advancing the state-of-the-art design tools to allow architects, artists, designers, and engineers to Make Anything . Our research centers around generative methods for design and spans physics-based modeling, simulation, optimization and systems modeling. You will lead and help build build a group focusing on the future of physics informed AI. Your group will work closely experts in geometric modeling, simulation, systems, robotics, high-performance computing, machine learning, sensing, computer vision, industrial manufacturing and construction.

The Physics Informed AI group will be specifically focused on researching and implementing novel algorithms for physics informed machine learning for use in design and engineering tools. We are interested in a scientific leader to help guide and direct research into physics-based generative models, surrogate models, data assimilation & digital twins, physics-based reasoning and the interpretation of physical results using AI.

Responsibilities

• Identify, recruit and hire a team of scientists in Physics Informed AI with a focus on design

• Work closely with a multi-disciplinary team of research scientists and engineers to conceive, plan, develop, and implement scientific research projects

• Direct & perform research on machine learning models combining physics simulation and measurement data

• Manage a team, perform bi-annual evaluations, plan development, coach, mentor and connect your personnel to academic communities and throughout the company

• Publish papers in peer-reviewed scientific journals/conferences

• Supervise researchers, engineers and interns (undergrad, Masters, PhD or Post-docs)

• Document and communicate the intent and the results of projects in clear terms to both technical and non-technical team audiences

• Present research findings at conferences and participate in research collaborations with external research institutes and universities

• Communicate and promote the use of research findings throughout Autodesk

• Consult with product teams on the implementation of research findings into products

Minimum Qualifications

• Ph.D. or MSc. 12+ years experience in Computer Science, Engineering, Physics or Applied Mathematics

• Extensive experience with Physics Informed Machine learning models

• Experience authoring physics-based solvers eg; fluids, thermal, structural, kinematic

• Strong publication history in relevant conferences and journals

• Proven track record as a practitioner of ML, creating, training and leading groups that can build and train models at scale

• Excellent written and oral communication skills

• Excellent knowledge of Numerical Methods

• Ability to quickly learn new technologies and adapt to new situations

• Ability to collaborate effectively with a diverse, multicultural global team of scientists, engineers and architects

Preferred Qualifications

• Knowledge of geometry and topology

• Experience training large-scale, multi-modal models and ensembles

• Familiar with collaborative development environments and version control systems

• Experience with:

  • 2D and 3D computer graphics programming

  • Visualization techniques

  • Bayesian statistics

  • NVIDIA Warp and/or JAX, NVIDIA Modulus or similar

  • Pytorch, Pytorch Lightning, Weights & Biases, Ray, AWS Sagemaker

  • Experience training diverse architectures: CNNs, GNNs, Diffusion models, Contrastive learning, Transformers, LLMs, RNNs etc. at scale

  • Koopman, DMD, SINDy, Fourier Neural Operators, PINNs etc.

  • Computer Vision

  • Python, C++, Rust

  • OpenMP, Clang, SIMD, etc.

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.

When youre an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesks competitive compensation package. For U.S.-based roles, we expect a starting base salary between $199,900 and $323,400. Offers are based on the candidates experience and geographic location, and may exceed this range. In addition to base salaries, we also have a significant emphasis on annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Equal Employment Opportunity

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Diversity & Belonging

We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here:

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

#J-18808-Ljbffr

Job Description

We are looking for an advanced physicist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.

In this role you will need to hold an expert understanding of physics- a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Astrophysics, Biophysics, Electrical Engineering, Nuclear Engineering, Chemical Engineering, Mathematics.

Benefits:

• This is a full-time or part-time REMOTE position
• You’ll be able to choose which projects you want to work on
• You can work on your own schedule
• Projects are paid hourly starting at $40+ per hour, with bonuses on high-quality and high-volume work

Responsibilities:

• Give AI chatbots diverse and complex physics problems and evaluate their outputs
• Evaluate the quality produced by AI models for correctness and performance

Qualifications:

• Fluency in English (native or bilingual level)
• Detail-oriented
• Proficient in mathematics, inductive/deductive reasoning, physical/temporal/ spatial reasoning
• A current, in progress, or completed Masters and/or PhD is preferred but not required

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, UK, Canada, Australia, or New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

Job Description

We are looking for an advanced physicist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.

In this role you will need to hold an expert understanding of physics- a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Astrophysics, Biophysics, Electrical Engineering, Nuclear Engineering, Chemical Engineering, Mathematics.

Benefits:

• This is a full-time or part-time REMOTE position
• You’ll be able to choose which projects you want to work on
• You can work on your own schedule
• Projects are paid hourly starting at $40+ per hour, with bonuses on high-quality and high-volume work

Responsibilities:

• Give AI chatbots diverse and complex physics problems and evaluate their outputs
• Evaluate the quality produced by AI models for correctness and performance

Qualifications:

• Fluency in English (native or bilingual level)
• Detail-oriented
• Proficient in mathematics, inductive/deductive reasoning, physical/temporal/ spatial reasoning
• A current, in progress, or completed Masters and/or PhD is preferred but not required

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, UK, Canada, Australia, or New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.