The Applied Math Libraries Engineer will work on developing numerical software foundations for the SPU, focusing on implementing mathematical primitives and collaborating with hardware and software ...
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Applied Math information
See salary details
$22.5K - $29K
2% of jobs
$29K - $35.6K
9% of jobs
$35.6K - $42.1K
11% of jobs
$45K is the 25th percentile. Wages below this are outliers.
$42.1K - $48.7K
9% of jobs
$48.7K - $55.2K
13% of jobs
The median wage is $57.4K / yr.
$55.2K - $61.8K
22% of jobs
$67K is the 75th percentile. Wages above this are outliers.
$61.8K - $68.3K
13% of jobs
$68.3K - $74.9K
9% of jobs
$74.9K - $81.4K
6% of jobs
$81.4K - $88K
5% of jobs
$88K - $94.5K
2% of jobs
$22.5K
$58.8K
$94.5K
How much do applied math jobs pay per year?
What are applied mathematicians?
What is the difference between Applied Math vs Data Analyst?
| Aspect | Applied Math | Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's or higher in Mathematics, Applied Math, or related fields | Bachelor's or higher in Statistics, Data Science, or related fields |
| Work Environment | Research labs, academia, finance, engineering | Business, finance, healthcare, marketing |
| Industry Usage | Modeling, simulations, algorithm development | Data interpretation, reporting, visualization |
| Common Search/Comparison | Applied Math vs Data Analyst |
Applied Math and Data Analysts often share skills in statistical analysis and problem-solving. However, Applied Math focuses more on developing mathematical models and algorithms, while Data Analysts primarily interpret and visualize data to inform business decisions. Both roles are vital across industries, but their daily tasks and focus areas differ significantly.
What are some typical projects or problems an applied mathematician may work on within a multidisciplinary team?
What are the key skills and qualifications needed to thrive as an Applied Mathematician, and why are they important?

Full-time
Posted 15 days ago
Job description
Vorticity Inc. is building the worldโs first Scientific Processing Unit (SPU) to accelerate scientific computing. The Applied Math Libraries Engineer will work on developing numerical software foundations for the SPU, focusing on implementing mathematical primitives and collaborating with hardware and software teams.
Responsibilities:
โข Prototype and implement core numerical linear algebra kernels and libraries for the SPU.
โข Translate mathematical algorithms into executable, performance-relevant software.
โข Write C, C++, and Python reference implementations to guide hardware, compiler, and runtime decisions.
โข Design benchmarks, correctness tests, numerical accuracy tests, and performance models for numerical libraries and scientific workloads.
โข Collaborate with hardware architects, compiler engineers, and runtime teams to evaluate algorithmโarchitecture tradeoffs and ensure numerical primitives map cleanly to the SPU programming model.
โข Iterate based on hardware evolution, compiler behavior, benchmark results, and performance insights.
Qualifications:
Required:
โข Strong foundation in applied mathematics, numerical linear algebra, and scientific computing, with the ability to turn mathematical ideas into correct and efficient software.
โข Strong proficiency in C, C++, and Python.
โข Comfort working close to hardware and writing performance-critical, low-level code.
โข Experience implementing numerical algorithms yourself, rather than only using existing libraries.
โข Ability to reason about memory layouts, cache behavior, bandwidth, arithmetic intensity, and parallel execution.
โข Experience with parallel or accelerator programming models such as CUDA, OpenMP, MPI, SYCL, HIP, or similar.
โข Solid understanding of concurrency fundamentals, including race conditions, atomics, synchronization, and thread/process behavior.
โข Experience working with low-level GPU assembly, such as NVIDIA SASS, or equivalent native accelerator instruction sets.
โข Excellent written and verbal communication skills.
โข Strong ability to work independently and collaboratively in a team.
โข Comfort operating in an early-stage environment where the hardware, compiler, and software stack are evolving together.
โข Willingness to put in the hard work needed to bring the SPU to life.
โข Above all: low ego.
Preferred:
โข Familiarity with numerical computing libraries such as BLAS, LAPACK, FFTW, Eigen, SuiteSparse, PETSc, cuBLAS, cuSOLVER, cuSPARSE, cuFFT, or similar.
โข Experience building numerical libraries, solvers, scientific computing frameworks, or HPC infrastructure.
โข Familiarity with performance analysis tools or modeling techniques, including profilers, roofline models, hardware counters, or analytical performance models.
โข Exposure to compilers, runtimes, code generation frameworks, or domain-specific languages for numerical computing.
โข Experience applying numerical methods in scientific domains such as physics, geophysics, CFD, climate, materials, fusion, or finance.
Company:
At Vorticity, we started with a simple realization: some of humanityโs most important breakthroughs arenโt stalled by imagination, theyโre stalled by compute. Founded in 2001, the company is headquartered in Redwood City, USA, with a team of 11-50 employees. The company is currently Early Stage.
About Vorticity
Sourced by ZipRecruiter
Industry
Software development
Company size
1 - 10 Employees
Headquarters location
Mountain View, CA, US
Year founded
2001