13 of 13 Permanent Linear Algebra Jobs

high-performance CUDA kernels for matrix operations and numerical solvers Profiling and optimizing GPU execution using NVIDIA tooling (e.g., qdss , Nsight Systems/Compute) Working with large-scale matrix algebra , linear equation solving, iterative solvers, and sparse/dense matrix handling Adapting existing CPU-based simulation code to GPU environments Ensuring numerical stability and precision in GPU-accelerated … handover of GPU-optimized modules Optional: contribution to Jetson-based environments if needed Required Skills Strong experience in CUDA development (custom kernels, memory management, warp optimization) Background in numerical linear algebra , matrix operations, and solving systems of equations Experience with GPU-accelerated libraries such as: cuBLAS, cuSOLVER, cuSPARSE, Thrust , or similar Knowledge of NVIDIA debugging/profiling tools More ❯

i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming data structures, data mining, artificial intelligence). College-level requirements or upper-level math … learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python), statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g., data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Clearance Required: Must possess an active TS/ More ❯

You Have Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field, with expertise in calibration, localization, and/or 3D mapping Strong mathematical foundation in linear algebra, probability theory, numerical optimization, 3D geometry, Lie theory, and 3D kinematics Strong theoretical understanding and practical experience with different linear and non-linear state estimation More ❯

biology, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math More ❯

i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence). College-level requirement, or upper-level math … learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python , statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly More ❯

to-day, you'll: ? Deliver engaging teaching sessions covering the full ML lifecycle — data prep, model training, evaluation, deployment and monitoring at scale. ? Explain the maths behind ML models (linear algebra, calculus, probability, stats) in an accessible, engaging way. ? Support learners throughout their apprenticeship journey alongside Learner Success Coaches. ? Contribute to content and product development — creating learning materials More ❯

a related field highly desired 3+ years of experience with machine learning, statistical modeling, and optimization techniques Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred) Proficient in linear algebra and statistics Familiar with scientific software principals, e.g. versioning systems, reproducibility Experience in the manufacturing industry is desired Must be a US Citizen or Green Card holder More ❯

a related field highly desired 5+ years of experience with machine learning, statistical modeling, and optimization techniques Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred) Proficient in linear algebra and statistics Familiar with scientific software principals, e.g. versioning systems, reproducibility Experience in the manufacturing industry is desired Must be a US Citizen or Green Card holder More ❯

a related field highly desired 5+ years of experience with machine learning, statistical modeling, and optimization techniques Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred) Proficient in linear algebra and statistics Familiar with scientific software principals, e.g. versioning systems, reproducibility Experience in the manufacturing industry is desired Must be a US Citizen or Green Card holder More ❯

technical and non-technical audiences. Confident presenter, capable of articulating insights, results, and strategies to stakeholders, executives, and customers in high-stakes or strategic settings. Strong mathematical background (statistics, linear algebra, calculus, probability, and optimization). Ability to dive into a large ML codebase to debug and improve it. Ability to drive a project and work both independently More ❯

small-scale system and process improvements to enhance functionality and efficiency. Qualifications Preferred: Applied Machine Learning experience (regression, classification, supervised, and unsupervised learning ) with a strong mathematical foundation in linear algebra , calculus , probability, and statistics. Experience in time-series data analysis , including cleansing and normalization , and experience with scalable Machine Learning ( MapReduce , streaming). Software development expertise in More ❯

security tactics. Post graduate degree and/or related certifications in Machine Learning or Artificial Intelligence. PhD or masters in AI/ML preferred. Strong understanding of probability theory, linear algebra and calculus. Knowledge of current academic work in Adversarial attacks of LLMs. In-depth experience with exploiting OWASP LLM Top 10 application vulnerabilities, such as prompt injection More ❯

of relevant experience Master's or Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field relevant to machine learning, or equivalent experience Strong background in Linear Algebra, Probability, Signal Processing, and machine learning concepts Proficient programming skills in languages such as C/C++, Python, and others Preferred Qualifications Experience in development related to More ❯