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Algorithms Engineer Jobs in Texas (NOW HIRING)

Raytheon

Algorithm Senior Systems Engineer

Plano, TX

$100K - $136K/yr

Develop, refine, and analyze algorithms to support mission-critical aerospace applications * Conduct trade studies to compare technical approaches and guide engineering decisions * Build statistical ...

Raytheon

Senior Algorithm Systems Engineer

Plano, TX

$100K - $136K/yr

Develop, refine, and analyze algorithms to support mission-critical aerospace applications * Conduct trade studies to compare technical approaches and guide engineering decisions * Build statistical ...

Gormat

Data Scientist 3

San Antonio, TX · On-site

Seeking Data Scientist that performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and ...

Gormat

Data Scientist 3

San Antonio, TX · On-site

Seeking Data Scientist that performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and ...

Gormat

Data Scientist 3

San Antonio, TX · On-site

Seeking Data Scientist that performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and ...

Cymertek

Signals Software Engineer

San Antonio, TX · On-site

Signals Software Engineer LOCATIONSan Antonio, TX 78208 CLEARANCETS/SCI Full Poly (Please note this ... In this role, you will design, implement, and optimize algorithms and applications to process ...

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Algorithms Engineer information

See Texas salary details

$49.8K

$122.4K

$180.3K

How much do algorithms engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for algorithms engineer in Texas is $122,372.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $137,400.00 per year, depending on experience, location, and employer.

How do Algorithms Engineers typically collaborate with other teams during the product development process?

Algorithms Engineers frequently work alongside cross-functional teams, including software developers, data scientists, and product managers, to ensure that algorithmic solutions are effectively integrated into products. They often participate in regular meetings to discuss requirements, share progress, and troubleshoot technical challenges. Close collaboration is essential, as algorithms must align with product goals and user needs, and Engineers may need to adjust models or optimizations based on feedback from testing or user data. This teamwork not only improves the final product but also provides valuable learning and growth opportunities for Algorithms Engineers.

What are the key skills and qualifications needed to thrive as an Algorithms Engineer, and why are they important?

To thrive as an Algorithms Engineer, you need a strong background in mathematics, computer science, and algorithm design, typically supported by a relevant degree. Proficiency in programming languages such as Python, C++, or Java, and experience with tools like MATLAB or TensorFlow, are commonly required, along with knowledge of data structures and optimization techniques. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with teams and explaining complex concepts. These skills enable the development of efficient, scalable solutions that drive technological innovation and product performance.

What are Algorithms Engineers?

Algorithms Engineers are professionals who design, analyze, and implement algorithms to solve complex computational problems efficiently. They often work in fields such as software development, artificial intelligence, data science, and computer vision. Their role involves optimizing code for speed and scalability, and collaborating with other engineers and researchers to develop new solutions. Strong skills in mathematics, programming, and problem-solving are essential for this job. Algorithms Engineers play a crucial part in making software systems faster, smarter, and more reliable.

What is the difference between Algorithms Engineer vs Data Scientist?

AspectAlgorithms EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentDevelops algorithms for software, hardware, or embedded systemsAnalyzes data to extract insights, build models, and inform decisions
Industry UsageTech, robotics, AI, and software development companiesFinance, healthcare, marketing, and tech sectors
Common Search/ComparisonFocuses on algorithm design and optimizationFocuses on data analysis and predictive modeling

Algorithms Engineers primarily develop and optimize algorithms for software and hardware systems, while Data Scientists analyze data to generate insights and build predictive models. Both roles require strong programming skills and a background in mathematics, but they serve different purposes within technology and data-driven industries.

What are popular job titles related to Algorithms Engineer jobs in Texas? For Algorithms Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Algorithms Engineer jobs in Texas look for? The top searched job categories for Algorithms Engineer jobs in Texas are:
What cities in Texas are hiring for Algorithms Engineer jobs? Cities in Texas with the most Algorithms Engineer job openings:
Algorithms Engineer jobs near you
Compiler Engineer - Algorithmic Workloads Compilation

Compiler Engineer - Algorithmic Workloads Compilation

Mythic

Austin, TX • On-site

Full-time

Posted 26 days ago

Job description

About us
Mythic is building the future of AI computing with breakthrough analog technology that delivers 100 the performance of traditional digital systems at the same power and cost. This unlocks bigger, more capable models and faster, more responsive applications-whether in edge devices like drones, robotics, and sensors, or in cloud and data center environments. Our technology powers everything from large language models and CNNs to advanced signal processing, and is engineered to operate from -40 C to +125 C, making it ideal for industrial, automotive, aerospace, and defense.

We've raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux Capital, and DCVC, and secured multi-million-dollar customer contracts across multiple markets.

About the role
Help push the boundaries of what can run on our accelerator. You'll design compiler IRs and lowering strategies to support algorithmic workloads with irregular or dynamic control flow-loops, branches, and iterative methods-going beyond static neural networks. Working side by side with hardware engineers, you'll influence ISA and execution model co-design to unlock new algorithm classes on analog and digital subsystems. The result: a compiler that makes complex algorithms practical to deploy while staying seamless for developers.
Here's what you will do
  • Extend compiler IRs to represent algorithms not easily captured in DNN graphs including control flow and iterative computation
  • Develop compilation strategies that unify analog compute with digital subsystems while maintaining performance and correctness
  • Prototype and optimize algorithms with irregular or dynamic control flow in compiler IRs, applying techniques such as vectorization, predication, and scheduling
  • Collaborate with hardware engineers to co-design ISA and features that improve support for algorithmic workloads
  • Define a roadmap for higher-level programming abstractions that simplify prototyping and accelerate deployment
Here's the background we hope you will have
  • 3+ years of professional experience in compilers or high-performance systems software
  • Proficiency in modern C++ (C++14/17/20) and Python
  • Familiarity with compiler IRs (e.g., MLIR, LLVM, or equivalent) and their use representing complex program structures
  • Solid foundation in program analysis and optimization techniques (e.g., SSA form, loop optimizations, vectorization)
The following would be nice to have, but is not required
  • Hands-on experience developing MLIR or LLVM dialects for control flow (e.g. scf, cf) or affine/polyhedral representations.
  • Background in compiler-hardware co-design: working with hardware designers to refine ISA or execution models for efficiency
  • Proven ability to prototype irregular or control-flow algorithms in compiler IRs and optimize them for performance and resource constraints
  • Experience extending ML compiler stacks (ONNX, IREE, XLA, PyTorch, TVM) to support workloads beyond DNNs
What we offer
  • The opportunity to make algorithmic and control-flow-heavy workloads practical on novel accelerator hardware.
  • A role that bridges compiler design and hardware co-design, shaping both the IR and the accelerator architecture.
  • A collaborative, innovative team that values engineering rigor, continuous integration, and user-focused design.
  • Competitive compensation, equity, and benefits package.
At Mythic, we foster a collaborative and respectful environment where people can do their best work. We hire smart, capable individuals, provide the tools and support they need, and trust them to deliver. Our team brings a wide range of experiences and perspectives, which we see as a strength in solving hard problems together. We value professionalism, creativity, and integrity, and strive to make Mythic a place where every employee feels they belong and can contribute meaningfully.
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