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Quantum Machine Learning Engineer Jobs in New Mexico

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

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Quantum Machine Learning Engineer information

See New Mexico salary details

$30.5K

$124.8K

$187.5K

How much do quantum machine learning engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for quantum machine learning engineer in New Mexico is $124,787.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $150,200.00 per year, depending on experience, location, and employer.

What is a quantum machine learning engineer?

A Quantum Machine Learning Engineer is a professional who combines expertise in quantum computing and machine learning to develop algorithms and solutions that leverage quantum hardware for advanced data processing tasks. They work on designing, implementing, and testing quantum algorithms that can solve problems faster or more efficiently than classical computers. Their work often involves collaborating with physicists, data scientists, and software engineers to bridge the gap between quantum theory and practical applications. This role requires strong backgrounds in quantum mechanics, computer science, and statistical learning techniques.

What are the key skills and qualifications needed to thrive as a quantum machine learning engineer?

To thrive as a Quantum Machine Learning Engineer, you need a strong background in quantum computing, machine learning, linear algebra, and programming (often Python or C++), typically supported by an advanced degree in physics, computer science, or a related field. Familiarity with platforms like Qiskit, Cirq, or TensorFlow Quantum, and knowledge of quantum algorithms and cloud-based quantum computing services are essential. Creative problem-solving, analytical thinking, and strong collaboration skills help distinguish top performers in this interdisciplinary field. Mastery of these skills enables innovation in developing and deploying quantum machine learning solutions to solve complex, cutting-edge problems.

How do quantum machine learning engineers typically collaborate with classical machine learning teams and quantum hardware specialists?

Quantum Machine Learning Engineers often serve as a bridge between classical machine learning experts and quantum hardware specialists. They work closely with data scientists to adapt machine learning algorithms for quantum environments and collaborate with hardware teams to ensure algorithms are optimized for specific quantum processors. Regular cross-functional meetings, code reviews, and joint problem-solving sessions are common, fostering a highly collaborative work environment. This collaboration is essential for successfully integrating quantum solutions into existing workflows and advancing the organization's quantum computing initiatives.

Is quantum machine learning a good career?

Quantum machine learning engineers work at the intersection of quantum computing and machine learning, focusing on developing algorithms that leverage quantum hardware. The field is emerging with high growth potential, requiring skills in quantum algorithms, programming languages like Python, and understanding of both quantum mechanics and machine learning principles. As quantum technology advances, demand for specialists in this area is expected to increase, making it a promising career path for those with relevant expertise.

What are popular job titles related to Quantum Machine Learning Engineer jobs in New Mexico?

For Quantum Machine Learning Engineer jobs in New Mexico, the most frequently searched job titles are:

What job categories do people searching Quantum Machine Learning Engineer jobs in New Mexico look for?

The top searched job categories for Quantum Machine Learning Engineer jobs in New Mexico are:

What cities in New Mexico are hiring for Quantum Machine Learning Engineer jobs?

Cities in New Mexico with the most Quantum Machine Learning Engineer job openings:

Infographic showing various Quantum Machine Learning Engineer job openings in New Mexico as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $124,787 per year, or $60 per hour.

Quantum Algorithm Engineering for Hamiltonian Simulation (Scientist 2)

Los Alamos National Security LLC

Los Alamos, NM • On-site

$125 - $150/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 hours ago

Posted today


Job description

What You Will Do

The Computing and Artificial Intelligence (CAI) Division at Los Alamos National Laboratory (LANL) seeks outstanding candidates to join our vibrant multidisciplinary research team that explores topics in quantum computing, quantum algorithm engineering, AI for quantum algorithm design, and quantum machine learning. Successful candidates will conduct original research that advances the state-of-the-art in quantum simulation through both theoretical and computational activities. A central goal for this work will be to develop novel analytical tools and new workflows that leverage AI tools and methods to analyze and optimize quantum algorithms for fault-tolerant quantum computers. Hamiltonian Simulation will be the central quantum computing paradigm for most of this work, which will require flexibility to learn new concepts from quantum computing application domains.

This position is open for external candidates only to apply.

What You Need Minimum Job Requirements
  • Demonstrated expertise in the fields of quantum algorithms and quantum computation, particularly in Hamiltonian simulation techniques.
  • Strong programming and simulation experience (e.g., Python, Julia, etc.).
  • Experience with High Performance Computing (HPC) or GPU programming.
  • Familiarity with Quantum Computing software stacks and tools (e.g., QISKIT, PennyLane, cuda-q).
  • Experience with methods relevant to the AI and Quantum Computing nexus, such as LLM and transformer-based techniques for quantum algorithm design and analysis ("AI for Quantum Computing") and/or Quantum Machine Learning, Quantum Data Learning, or Quantum Natural Language Processing ("Quantum Computing for AI").
  • Demonstrated experience in conducting original scientific research through peer-reviewed publication records.
  • Excellent communication and writing skills, as evidenced by publications and presentations.

Education/Experience: Positions requires a Bachelor' degree in a STEM field from an accredited college and university and 4 years of related experience, typically with post-doctoral research experience at a university or national lab or equivalent experience directly related to the occupation.

Desired Qualifications
  • Hands-on experience running experiments on cloud-based quantum devices.
  • Technical understanding of Quantum Error Correction schemes with a focus on their relevance to fault-tolerant quantum algorithm design.
  • Demonstrated experience in classical simulation techniques of quantum computing challenges (e.g, state vector simulation, tensor networks, DMRG, quantum Monte Carlo, etc.).
  • Active Q clearance, or the ability to obtain a Q clearance.
  • Preference will be given to applicants with a Ph.D. in Computer Sciences, Mathematics, or related physical sciences, having two years of postdoctoral experience.
Work Location

The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.

Position commitment

Regular appointment employees are required to serve a period of continuous service in their current position in order to be eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the time required, they may only apply for Laboratory jobs with the documented approval of their Division Leader. The position commitment for this position is 1 year.

Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.

Where You Will Work

Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:

  • PPO or High Deductible medical insurance with the same large nationwide network
  • Dental and vision insurance
  • Free basic life and disability insurance
  • Paid childbirth and parental leave
  • Award-winning 401(k) (6% matching plus 3.5% annually)
  • Learning opportunities and tuition assistance
  • Flexible schedules and time off (PTO and holidays)
  • Onsite gyms and wellness programs
  • Extensive relocation packages (outside a 50 mile radius)
Additional Details

Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.

No Clearance: Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.

New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.

Regular position: Term status Laboratory employees applying for regular-status positions are converted to regular status.

Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy P701 for applicant eligibility requirements.

Incentive Compensation Program: Position is eligible to participate in the Triad Incentive Compensation Program. You must be in an eligible position for a minimum of 3 months, before July 1st and remain in an eligible position as of the end of the fiscal year, September 30th. The annual distribution is prorated based on the number of months in the eligible position.

Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call (505)-664-6947.

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