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Algorithms Jobs (NOW HIRING)

Array Labs

Radar Algorithms Engineer

Redwood City, CA · On-site

$150K - $300K/yr

About the Job As a Radar Algorithms Engineer you will develop, deploy, and scale innovative 3D reconstruction algorithms and processing techniques for this unique radar imaging system. In addition to ...

Array Labs

Radar Algorithms Engineer

Redwood City, CA · On-site

$150K - $300K/yr

About the Job As a Radar Algorithms Engineer you will develop, deploy, and scale innovative 3D reconstruction algorithms and processing techniques for this unique radar imaging system. In addition to ...

Deegit Inc

DSP Algorithms Engineer

Hillsboro, OR · On-site

$155K - $181K/yr

Company Description 7+ years' experience in audio and/or speech algorithms research including ASR, echo cancelation, feedback cancellation, ANC, vocal pitch shifting and transformation. Proficient in ...

QCi

Software Engineer, Quantum Algorithms (Optimization) Location: Hoboken, NJ Division: Technology Department: Engineering About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative ...

QCi

Senior Engineer, Quantum Algorithms

Hoboken, NJ · On-site

Software Engineer, Quantum Algorithms (Optimization) Location: Hoboken, NJ Division: Technology Department: Engineering About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative ...

Apple

Camera Algorithms Engineer

Cupertino, CA

$150K - $277K/yr

Apple's Camera Algorithm team is looking for extraordinary engineers to work on the image capture and processing/rendering algorithms that serve all Apple product cameras! As part of the team, you ...

ALSO

Senior Software Engineer, Algorithms + ML

Palo Alto, CA · On-site

$144K - $189K/yr

You should be comfortable balancing algorithmic quality with real-world product constraints such as latency, battery life, compute, bandwidth, reliability, and manufacturability. What You Will Do

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How much do algorithms jobs pay per year?

As of Jul 12, 2026, the average yearly pay for algorithms in the United States is $135,182.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $160,000.00 per year, depending on experience, location, and employer.

What jobs use algorithms?

Algorithms are fundamental to many jobs in technology, data science, software engineering, and artificial intelligence. Professionals in these roles develop, analyze, and implement algorithms to solve problems, optimize processes, and build systems, often using programming languages like Python, Java, or C++. Knowledge of data structures, mathematical concepts, and computational theory is essential in these fields.

What engineers make $500,000?

Senior software engineers, especially those working in high-demand fields like algorithms, machine learning, or data science at large tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills, and often working in competitive markets or leadership roles.

What is the job of an algorithm?

The job of an algorithm is to provide a step-by-step procedure for solving a specific problem or performing a task efficiently. In programming and data analysis, algorithms are used to process data, make decisions, and optimize outcomes, often requiring knowledge of programming languages and logical thinking.

What is the difference between Algorithms vs Data Analysts?

AspectAlgorithmsData Analysts
Required CredentialsDegree in Computer Science, Mathematics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; analytical skills
Work EnvironmentTech companies, research labs, software developmentBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed to develop models, optimize processes, and automate tasksUsed to interpret data, generate reports, and support decision-making

Algorithms focus on designing step-by-step procedures for problem-solving and are essential in software development and AI. Data Analysts interpret and visualize data to help organizations make informed decisions. While both roles work with data, algorithms are more technical and programming-intensive, whereas data analysts focus on data interpretation and reporting.

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 computer science, mathematics, and data structures, typically supported by a relevant degree. Familiarity with programming languages like Python or C++, version control systems, and algorithm analysis tools is essential. Strong analytical thinking, problem-solving ability, and effective communication skills set exceptional candidates apart. These competencies are crucial for designing efficient solutions, optimizing performance, and collaborating effectively within technical teams.

What are algorithms in the context of computer science jobs?

Algorithms are step-by-step procedures or sets of rules designed to solve specific problems or perform tasks, commonly used in computer science for data processing, calculation, and automated reasoning. Professionals who work with algorithms develop, analyze, and optimize these procedures to improve the efficiency and effectiveness of software and systems. Understanding algorithms is crucial for roles like software engineers, data scientists, and researchers, as it enables them to create solutions that are both correct and efficient.

What tech jobs pay $400,000 a year?

Senior roles in algorithms, such as Principal Algorithm Engineer or Lead Data Scientist, can reach or exceed $400,000 annually, especially in high-cost living areas or top tech companies. These positions typically require advanced skills in machine learning, data analysis, and programming, along with extensive experience and often stock options or bonuses.

What are some common challenges faced by professionals working in algorithm development roles?

Professionals in algorithm development often encounter challenges such as balancing computational efficiency with accuracy, ensuring scalability for large datasets, and adapting algorithms to evolving requirements. Collaborating closely with data scientists, engineers, and product teams is essential to align solutions with real-world constraints and business goals. Staying current with the latest research and technologies is also important, as the field evolves rapidly and new methods frequently emerge.
More about Algorithms jobs
What cities are hiring for Algorithms jobs? Cities with the most Algorithms job openings:
What are the most commonly searched types of Algorithms jobs? The most popular types of Algorithms jobs are:
What states have the most Algorithms jobs? States with the most job openings for Algorithms jobs include:
Algorithms jobs near you
Infographic showing various Algorithms job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $135,182 per year, or $65 per hour.
Radar Algorithms Engineer

Radar Algorithms Engineer

Array Labs

Redwood City, CA • On-site

$150K - $300K/yr

Full-time

Re-posted 3 days ago

Job description

Array Labs builds advanced radar systems to help humanity understand and respond to changes across the physical world.
We're launching a coordinated fleet of radar satellites to create a high-resolution 3D map of the Earth - updated in real time - enabling faster, smarter decision-making for government and commercial organizations supporting disaster response, infrastructure resilience, and mission-critical geopolitical intelligence.
We design and build our satellites end-to-end, producing the world's most advanced earth observation satellites. Our fleet will deliver unprecedented levels of accuracy, coverage, and responsiveness to power critical insights precisely where they're needed most.
About the Job
As a Radar Algorithms Engineer you will develop, deploy, and scale innovative 3D reconstruction algorithms and processing techniques for this unique radar imaging system. In addition to working closely with the rest of the software team, you will be collaborating with the hardware and product teams to rapidly advance image formation techniques from concept to a cloud-based imagery production pipeline.
As part of our quickly growing engineering team, you will play a critical role in the design of the world's most advanced radar satellite constellation-one that will significantly improve humanity's ability to rapidly and comprehensively understand our changing planet.
Responsibilities:
  • Develop synthetic aperture radar algorithms to create high-quality 3D data-products. These can take inspiration from techniques in tomography, interferometry, radargrammetry, as well as computer vision algorithms.
  • Work closely with the rest of the software team to implement and deploy efficient algorithms in our cloud-based image production pipeline
  • Create tools for predicting the performance of 3D reconstruction algorithms based on image collection geometry
  • Collaborate with the product team to understand customer use-cases and translate needs into system-level requirements.
  • Generate test plans and methods to validate product quality and ensure it meets end-user expectations

Basic qualifications:
  • Bachelor's degree in electrical engineering, physics, computer science, or related field
  • Experience in SAR digital signal processing and algorithm development
  • Excellent teamwork and communication skills
  • Learn new concepts rapidly, completely, and in a self-directed manner
  • High levels of self-motivation and personal accountability
  • Ability to work in a fast-paced environment under significant time constraints
  • Proficiency in Python, C/C++, or MATLAB

Preferred skills and experience:
  • Advanced degree with emphasis in radar image formation
  • Familiarity with SAR image formation algorithms
  • Familiarity with SAR collection modes and motion compensation concepts
  • Experience deploying radar algorithms into production pipelines
  • Familiarity with modern software development practices (version control, code review, continuous integration, etc)
  • Familiarity with SAR collection geometries and implications (crossing node interferometry, multi-baseline interferometry)
  • Familiarity with SAR interferogram processing
  • Familiarity with tomographic aspects of SAR and related concepts such as holographic principles, critical baseline, etc.
  • Familiarity with multi-dimensional inverse SAR and related optimization methods

ITAR Requirements:
  • To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

Equal Opportunity Employer:
  • Array Labs is an Equal Opportunity Employer. Employment decisions are made on the basis of merit, competence, and job qualifications and will not be influenced in any manner by gender, color, race, ethnicity, national origin, sexual orientation, religion, age, gender identity, veteran status, disability status, marital status, mental or physical disability or any other legally protected status.

$150,000 - $300,000 a year
Interview Process
We will conduct interviews via Google Meet; the typical process takes around 2-4 weeks to complete from start to finish.
Hiring and Compensation Strategy
Our hiring and compensation strategy is simple:
1) find uncommonly good people
2) pay them uncommonly well
You can anticipate competitive pay, with high flexibility between salary and equity-based compensation.
Why Join Array Labs?
Array Labs is launching a constellation of satellites to create the first high-resolution, real-time, three-dimensional model of Earth. Our next-generation satellite technology will offer image quality 60x greater than traditional techniques, profoundly expanding humanity's ability to understand and respond to events on a global scale.
In forging an affordable, accessible, accurate representation of Earth, our work has the potential to transform the face of dozens of fields, including autonomy, telecommunications, disaster relief, gaming, climate science, defense and construction.

Apply