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Algorithms Engineer Jobs in Cambridge, MA (NOW HIRING)

... algorithms for practically useful problems, with a focus on implementations suited to fault ... one general-purpose programming language. Preferred technical and professional experience ...

... algorithms and prototype systems for next-generation radar and electronic warfare technologies ... We investigate cutting edge technologies and interface with engineers across sectors and divisions ...

... algorithms and prototype systems for next-generation radar and electronic warfare technologies ... We investigate cutting edge technologies and interface with engineers across sectors and divisions ...

... algorithms and prototype systems for next-generation radar and electronic warfare technologies ... We investigate cutting edge technologies and interface with engineers across sectors and divisions ...

... algorithms and prototype systems for next-generation radar and electronic warfare technologies ... We investigate cutting edge technologies and interface with engineers across sectors and divisions ...

Showing results 41-60

Algorithms Engineer information

See Cambridge, MA salary details

$58.5K

$143.6K

$211.5K

How much do algorithms engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for algorithms engineer in Cambridge, MA is $143,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,600.00 and $161,200.00 per year, depending on experience, location, and employer.

What is an algorithms engineer?

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 skills and qualifications are needed to thrive as an algorithms engineer?

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.

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 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 the most commonly searched types of Algorithms Engineer jobs in Cambridge, MA?

The most popular types of Algorithms Engineer jobs in Cambridge, MA are:

What are popular job titles related to Algorithms Engineer jobs in Cambridge, MA?

For Algorithms Engineer jobs in Cambridge, MA, the most frequently searched job titles are:

What job categories do people searching Algorithms Engineer jobs in Cambridge, MA look for?

The top searched job categories for Algorithms Engineer jobs in Cambridge, MA are:

Infographic showing various Algorithms Engineer job openings in Cambridge, MA as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $143,561 per year, or $69 per hour.

RF Systems Architect - Control Algorithms

Apple

Waltham, MA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 680 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

At Apple, our work is dedicated to creating products that connect and enrich people's lives. The Cellular RF Systems Engineering team sits at the very core of that mission, defining the wireless technologies that enable seamless experiences for hundreds of millions of users worldwide.
We are looking for a passionate engineer to design the intelligent control algorithms that orchestrate our RF Front-End hardware. By translating complex 5G and 6G use cases into optimized RF hardware control strategies, you will directly balance RF performance, power consumption, and thermal limits to deliver a world-class wireless experience.
Description
In this role, you will be responsible for the optimal interaction between our RF transceivers and RF Front-End modules. Your primary focus will be breaking down advanced cellular capabilities, such as SRS antenna switching, MIMO and Multi-SIM, into clear system requirements and concrete control flows. This is a highly collaborative role where you will partner with diverse engineering teams across the entire cellular stack to bring these cutting-edge concepts into our next-generation cellular products.
Minimum Qualifications
BSEE required.
Deep understanding of 5G NR and LTE-Advanced physical layer procedures, particularly involving MIMO, SRS, and carrier aggregation.
Strong working knowledge of RF Front-End architectures and the system-level impact of components like PAs, LNAs, filters, and switches.
Proven track record of developing control algorithms, state machines, or system-level models for complex hardware.
Proficiency in Python, MATLAB, or C/C++ for data analysis, system modeling, and algorithm development.
Ability to critically analyze complex trade-offs, such as routing flexibility versus insertion loss, or throughput versus battery life.
Strong communication skills with a proven ability to work across diverse, cross-functional teams to solve highly complex, multi-disciplinary problems.
Preferred Qualifications
MS or PhD in Electrical Engineering, Physics, or a related field.
3+ years of industry experience in RF systems or transceiver architectures with a focus on advanced cellular communication topics.
5+ years of experience in RF systems engineering or 10+ years in communications circuit design.
Hands-on experience with RF filter technologies, power amplifier characterization, and Front-End module integration.
Expertise in designing and simulating analog and digital signal processing paths.
Experience applying Machine Learning or AI techniques to solve system-level optimization problems.
History of successfully balancing cutting-edge hardware innovation with the practical constraints of high-volume manufacturing.

What Apple employees say

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976