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Algorithmic Jobs (NOW HIRING)

Junior Algorithmic Trader

Chicago, IL · On-site

$69K - $89K/yr

Description Our Algorithmic Traders use their expert understanding of the financial markets and market microstructure to develop relative value arbitrage trading software and build and improve ...

Description As an Algorithmic Trader Intern, you will have the opportunity to learn and experience relative value arbitrage trading paired with innovative software. You will work closely with Junior ...

AI Algorithm Developer

Santa Clara, CA · On-site

$161K - $221K/yr

The ideal candidate combines algorithmic depth (can reason through "why", not just implement), clean code practices (design patterns, testing, maintainable systems), and critical thinking (customizes ...

Algorithm Developer

Goleta, CA · On-site

$120K - $200K/yr

Toyon is seeking Algorithm Developers capable of developing advanced algorithms and software for image/video, radar, and other signal processing applications. We are looking for algorithm and ...

You'll conceive algorithms to accommodate real time multi-editing and audio processing. * You'll write our new API to accelerate & build integrations with multiple complementary productivity ...

Junior Algorithmic Trader

Chicago, IL

$69K - $89K/yr

Description Our Algorithmic Traders use their expert understanding of the financial markets and market microstructure to develop relative value arbitrage trading software and build and improve ...

Algorithmic Trader Intern

Chicago, IL

$15.50 - $20.50/hr

Description As an Algorithmic Trader Intern, you will have the opportunity to learn and experience relative value arbitrage trading paired with innovative software. You will work closely with Junior ...

AI Algorithm Developer

Santa Clara, CA · On-site

$161K - $221K/yr

The ideal candidate combines algorithmic depth (can reason through "why", not just implement), clean code practices (design patterns, testing, maintainable systems), and critical thinking (customizes ...

Algorithm Developer

Santa Clara, CA · On-site

$161K - $221K/yr

Perform algorithmic C&F for an algorithmic module, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constrains * Develop executable ...

Algorithm Developer

Goleta, CA · On-site

$120K - $200K/yr

Toyon is seeking Algorithm Developers capable of developing advanced algorithms and software for image/video, radar, and other signal processing applications. We are looking for algorithm and ...

Toyon is seeking Algorithm Developers capable of developing advanced algorithms and software for image/video, radar, and other signal processing applications. We are looking for algorithm and ...

Showing results 21-40

Algorithmic information

See salary details

$37.5K

$122.7K

$196.5K

How much do algorithmic jobs pay per year?

As of Aug 12, 2026, the average yearly pay for algorithmic in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What jobs use algorithms?

Algorithmic jobs include roles such as data scientists, software engineers, machine learning engineers, and quantitative analysts. These positions involve designing, implementing, and optimizing algorithms to solve complex problems, often requiring programming skills in languages like Python, C++, or Java, and knowledge of data structures and mathematical concepts.

What is an algorithmic job?

Algorithmic jobs involve designing, analyzing, and implementing algorithms to solve specific problems or optimize processes. Professionals in these roles often work in fields like computer science, finance, and engineering, where they create solutions for data processing, automation, or trading systems. These jobs require strong analytical skills, proficiency in programming languages, and a solid understanding of mathematical concepts. Algorithmic roles can range from developing search algorithms for software applications to creating automated trading strategies in financial markets.

What are some common challenges faced by professionals in algorithmic roles, and how can these be addressed?

Professionals in algorithmic roles often encounter challenges such as optimizing algorithms for efficiency, managing large and complex data sets, and ensuring their solutions scale well in production environments. Collaborating closely with data engineers, software developers, and product teams is essential to address these issues. Keeping up-to-date with the latest advancements through continuous learning and code reviews, as well as leveraging peer feedback, can help overcome technical hurdles and improve algorithm performance.

What are the key skills and qualifications needed to thrive as an algorithmic trader?

To thrive as an Algorithmic Trader, you need a strong background in quantitative analysis, programming (often in Python, C++, or R), and financial markets, typically supported by a degree in finance, mathematics, computer science, or a related field. Familiarity with trading platforms, statistical modeling tools, and certifications like CFA or FRM can enhance your expertise. Analytical thinking, attention to detail, and strong decision-making skills set top performers apart in this competitive field. These skills ensure the development, testing, and execution of effective trading strategies in rapidly changing market environments.

What is the difference between Algorithmic vs Data Analyst?

AspectAlgorithmicData Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; analytical skills
Work EnvironmentTech companies, finance, research labs; focus on coding and algorithm developmentBusiness, marketing, finance; focus on data interpretation and reporting
Employer & Industry UsageUsed in software development, quantitative research, AIUsed in marketing, finance, healthcare for data-driven decisions

While both roles involve working with data, Algorithmic professionals primarily develop algorithms and coding solutions, often in technical environments. Data Analysts focus on analyzing data sets to generate insights and reports. Understanding these differences helps in choosing the right career path or job search focus.

More about Algorithmic jobs
What cities are hiring for Algorithmic jobs? Cities with the most Algorithmic job openings:
What states have the most Algorithmic jobs? States with the most job openings for Algorithmic jobs include:
Infographic showing various Algorithmic job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Compiler Engineer - Algorithmic Workloads Compilation

Mythic

Palo Alto, CA

Full-time

Re-posted 13 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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