ZipRecruiter

Log In

1

Applied Optimization Jobs in Texas (NOW HIRING)

Oxy

AI Optimization Engineer

Houston, TX · On-site

We are looking for an experienced and innovative leader to fill the position of AI Optimization Engineer within our Applied AI Center of Excellence group based in Houston, TX. Essential Job ...

Varsity Tutors

Applied Mathematics Tutor

Fort Worth, TX · Remote

$40/hr

... optimization, mathematical modeling, Fourier analysis, partial differential equations, and complex ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

Varsity Tutors

Applied Mathematics Tutor

Edinburg, TX · Remote

$40/hr

... optimization, mathematical modeling, Fourier analysis, partial differential equations, and complex ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

Varsity Tutors

Applied Mathematics Tutor

Brownsville, TX · Remote

$40/hr

... optimization, mathematical modeling, Fourier analysis, partial differential equations, and complex ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

Varsity Tutors

Applied Mathematics Tutor

Mckinney, TX · Remote

$40/hr

... optimization, mathematical modeling, Fourier analysis, partial differential equations, and complex ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

Varsity Tutors

Applied Mathematics Tutor

Bryan, TX · Remote

$40/hr

... optimization, mathematical modeling, Fourier analysis, partial differential equations, and complex ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

Varsity Tutors

Applied Mathematics Tutor

Round Rock, TX · Remote

$40/hr

... optimization, mathematical modeling, Fourier analysis, partial differential equations, and complex ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

Varsity Tutors

Applied Mathematics Tutor

Sugar Land, TX · Remote

$40/hr

... optimization, mathematical modeling, Fourier analysis, partial differential equations, and complex ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

Varsity Tutors

Applied Mathematics Tutor

El Paso, TX · Remote

$40/hr

... optimization, mathematical modeling, Fourier analysis, partial differential equations, and complex ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

Varsity Tutors

Applied Mathematics Tutor

Pearland, TX · Remote

$40/hr

... optimization, mathematical modeling, Fourier analysis, partial differential equations, and complex ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

Varsity Tutors

Applied Mathematics Tutor

Irving, TX · Remote

$40/hr

... optimization, mathematical modeling, Fourier analysis, partial differential equations, and complex ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

Varsity Tutors

Applied Mathematics Tutor

Carrollton, TX · Remote

$40/hr

... optimization, mathematical modeling, Fourier analysis, partial differential equations, and complex ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

next page

Showing results 1-20

All JobsApplied Optimization JobsApplied Optimization Jobs in Texas

Applied Optimization information

What is the difference between Applied Optimization vs Data Analyst?

AspectApplied OptimizationData Analyst
Required CredentialsBachelor's in Operations Research, Industrial Engineering, or related fields; often certifications in optimization toolsBachelor's in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentCorporate, manufacturing, logistics, or consulting firms focusing on process improvementBusiness, finance, healthcare, or marketing sectors analyzing data trends
Employer & Industry UsageUsed in industries requiring process optimization and resource allocationUsed across industries for interpreting data and supporting decision-making

Applied Optimization focuses on developing mathematical models to improve processes and resource use, often requiring specialized optimization skills. Data Analysts interpret data to identify trends and support strategic decisions. While both roles analyze data, Applied Optimization emphasizes mathematical modeling for operational improvements, whereas Data Analysts focus on data interpretation and reporting.

What jobs use applied optimization?

Applied optimization is used in roles such as operations researcher, data analyst, supply chain analyst, and industrial engineer. These jobs involve developing algorithms, modeling systems, and improving processes using mathematical and computational techniques to increase efficiency and reduce costs.

What are popular job titles related to Applied Optimization jobs in Texas?

For Applied Optimization jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Applied Optimization jobs in Texas look for?

The top searched job categories for Applied Optimization jobs in Texas are:

What cities in Texas are hiring for Applied Optimization jobs?

Cities in Texas with the most Applied Optimization job openings:

Applied Optimization jobs near you
Infographic showing various Applied Optimization job openings in Texas as of September 2026, with employment types broken down into 69% Full Time, and 31% Part Time. Highlights an 100% In-person job distribution.

Senior/Staff Applied Scientist, Numerical Optimization & Quantization

Austin, TX • On-site

Neurophos Inc
1 - 10 employees
Learn more about Neurophos Incexternal

$170K - $240K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Key responsibilities

  • Develop and execute hardware-aware post-training methods for full model quantization.

  • Design and conduct controlled numerical experiments to evaluate potential improvements and effects of analog processing hardware.

  • Collaborate with hardware, software, and architecture teams to co-optimize model architectures for optical compute characteristics.

Job description

About Neurophos
The demand for new data centers and AI compute is rapidly outpacing the planet's energy capacity. Digital solutions are hitting a power wall as we approach the physical limits of traditional silicon. Conquering this bottleneck means rethinking the fundamental architecture of inference compute. The industry's current path can't meet the need, so we're taking a different approach.
Instead of traditional electronic circuits, we use silicon photonics and an active, programmable metasurface to perform matrix multiplications at the speed of light. Our optical cells are 10,000x smaller than traditional photonic components, enabling unprecedented density. By using photonics instead of electricity, our chips become more efficient as they scale. This architecture will deliver up to 100 times the energy efficiency of existing solutions while significantly improving performance for large-scale AI inference.
We've assembled a world-class team of industry veterans and recently raised a $110M Series A led by Gates Frontier. Participants include M12 (Microsoft's Venture Fund), Carbon Direct Capital, Aramco Ventures, Bosch Ventures, Tectonic Ventures, Space Capital, and others.
Join us and shape the future of computing!
Location: Austin, TX or Sunnyvale, CA. Full-time onsite position.
Reports To: Mathematics and Quantization Lead
FLSA Status: Exempt
Position Overview
We are seeking an experienced machine learning scientist to develop advanced post-training quantization methods for large language models (LLMs), diffusion models, and other ML applications for our revolutionary optical inference engines. This role is critical to demonstrating the full potential of our metamaterial-based optical processing units (OPUs) by adapting state-of-the-art AI models to leverage our ultra-high-throughput, low-precision compute architecture.
The ideal candidate will bridge the gap between cutting-edge ML research and novel hardware capabilities, ensuring customers can seamlessly deploy their AI workloads on Neurophos hardware.
Key Responsibilities
  • Develop and execute hardware-aware post-training methods for full model quantization.
  • Investigate preconditioning and formulate quantization as non-convex, discrete, constrained, or second-order optimization and develop practical solutions.
  • Contribute to refining Neurophos's quantization strategy.
  • Design controlled numerical experiments to understand potential improvements and secondary effects due to analog processing hardware.
  • Build research-quality implementations and reproducible experiment harnesses for testing candidate methods.
  • Adapt models from open-source repositories and customer private models.
  • Work with models in various formats, including PyTorch, Triton, JAX, and emerging frameworks.
  • Design and execute re-quantization, retraining, and other model adaptation techniques to minimize accuracy loss during precision reduction.
  • Optimize GEMM operations for high-throughput execution.
  • Collaborate with hardware, software, and architecture teams to co-optimize model architectures for optical compute characteristics.
  • Publish research papers on novel optimization techniques and methodologies, with appropriate IP protection.

Qualifications
  • PhD, or equivalent research experience, in machine learning, applied mathematics, optimization, numerical analysis, computer science, or a closely related field.
  • 5+ years of experience in machine learning, with at least 3 years focused on model optimization and deployment.
  • Research or advanced engineering experience in neural network quantization, model compression, numerical optimization, or efficient inference.
  • Strong knowledge of numerical linear algebra, including matrix factorizations, conditioning, covariance estimation, and iterative methods.
  • Experience with one or more of non-convex optimization, discrete optimization, manifold optimization, second-order methods, or constrained optimization.
  • Strong proficiency in PyTorch and familiarity with other ML frameworks, including JAX, Triton, and TensorFlow.
  • Hands-on experience with transformer architectures, LLMs, and diffusion models.
  • Experience designing controlled numerical experiments and distinguishing algorithmic improvements from calibration or benchmark artifacts.
  • Strong written communication and research collaboration skills.

Preferred Skills
  • Experience with low-precision inference optimization (INT8, FP8, or lower).
  • Background in analog or optical computing architectures.
  • Knowledge of in-memory computing paradigms and matrix-vector multiplication acceleration.
  • Knowledge of randomized numerical linear algebra, sketching, or structured transforms.
  • Publications in quantization, optimization, numerical linear algebra, model compression, or efficient ML.
  • Experience with vector quantization, lattice methods, learned codebooks, or rate-distortion ideas.
  • Experience with large-scale batch inference optimization.
  • Familiarity with prefill versus decode optimization strategies in LLM inference.
  • Experience conducting experiments on models large enough to expose scaling and generalization problems.

What We Offer
This is an opportunity to play a pivotal role in an innovative startup redefining the future of AI hardware. Work on game-changing technology at the intersection of photonics and AI as part of a collaborative, brilliant team. You'll contribute to a platform that redefines computational performance and accelerates the future of artificial intelligence. Come help us bring this transformative technology to the world.
Benefits
Join a team that invests in your future and your well-being. At Neurophos, we offer:
  • 100% coverage of base health plan premiums for you and your dependents, plus HSA contributions.
  • Unlimited PTO. No rigid vacation banks, just a focus on delivery.
  • 401(k) matching and stock option opportunities to ensure our success is your success.
  • Full suite of voluntary benefits, including Dental, Vision, Life, Hospital, Critical Illness, and Accident insurance.
  • Personalized Benefits. Choose the plans that fit your life and take the cash back for those that don't.

Apply