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Algorithms Engineer Jobs in Arizona (NOW HIRING)

DSP Engineer (Space)

Tempe, AZ · On-site

$164.50K - $246.50K/yr

Design, develop, and implement advanced DSP algorithms for modulation/demodulation, channel coding/decoding, and synchronization to run on simulated environments * Utilize MATLAB and Simulink to ...

The basic algorithms and deep learning algorithms of related machine learning have a deep ... excellent engineering practice capabilities * Experience in algorithms such as, anti-fraud ...

Geolocation DSP Engineer

Tucson, AZ · On-site

$110K - $148K/yr

Implementation includes algorithm development, analysis, system optimization and deployment ... Electrical Engineering, Computer Engineering, Applied Mathematics, or Physics * Minimum 5 years ...

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Algorithms Engineer information

See Arizona salary details

$49.9K

$122.4K

$180.3K

How much do algorithms engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for algorithms engineer in Arizona is $122,402.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $137,500.00 per year, depending on experience, location, and employer.

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.

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 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 the most commonly searched types of Algorithms Engineer jobs in Arizona? The most popular types of Algorithms Engineer jobs in Arizona are:
What job categories do people searching Algorithms Engineer jobs in Arizona look for? The top searched job categories for Algorithms Engineer jobs in Arizona are:
What cities in Arizona are hiring for Algorithms Engineer jobs? Cities in Arizona with the most Algorithms Engineer job openings:
Infographic showing various Algorithms Engineer job openings in Arizona as of May 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 93% Physical, 5% Hybrid, and 2% Remote job distribution, with an average salary of $122,402 per year, or $58.8 per hour.
Sr. Principal Systems Engineer - Missile Guidance, Navigation, & Control Engineer

Sr. Principal Systems Engineer - Missile Guidance, Navigation, & Control Engineer

Raytheon

Tucson, AZ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Raytheon rating

9.1

Company rating: 9.1 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

3rd of 511 rated manufacturers


Job description

Date Posted:

2026-04-14

Country:

United States of America

Location:

US-AZ-TUCSON-805 ~ 1151 E Hermans Rd ~ BLDG 805

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Active and transferable U.S. government issued security clearance is required prior to start date.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance​

Security Clearance Type:

DoD Clearance: Secret

Security Clearance Status:

Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.

The Systems Effectors: Processing, Guidance & Control Center is responsible for algorithm development including Guidance, Navigation, and Control; radio frequency (RF) and electro-optical/infrared (EO-IR) Signal Processing (SP); and missile- and sensor-level Modeling and Simulation for Raytheon's broad portfolio of projects, programs, and products. In the GNC department, we design, integrate, and optimize effector guidance, tracking, navigation, and estimation algorithms to meet mission objectives. We support new business initiatives and help develop & execute technology roadmaps.

The Effectors PG&C Center is currently hiring for a Sr. Principal Systems Engineer - Missile Guidance, Navigation, & Control Engineer position in Tucson, AZ to support execution of the portfolio of current and upcoming missile programs. As a Sr. Principal Systems Engineer - Missile Guidance, Navigation, & Control Engineer, you will play a critical role in helping with the evaluation, design, implementation, and integration of embedded software algorithms. You will collaborate with a team of engineers in an integrated product team that will be responsible for tactical embedded software, firmware, and integrated flight software 6 Degrees-of-Freedom simulations to achieve overall system performance requirements.  This position is an onsite role located in Tucson, AZ. 

What You Will Do

  • Development, integration, and testing of embedded tactical missile flight code

  • Definition and execution of system level performance studies and analyses to inform the development and integration of new capabilities, refinement of existing capability, or to address obsolescence

  • Work within an agile framework to lead development of backlogs, plans, and metrics

  • Provide experience and guidance to help the program train new engineers and execute efficiently and effectively

  • Support missile performance analysis including model development, system optimization, and Monte Carlo assessments with expected system disturbances.

Qualifications You Must Have

  • Typically requires a Bachelor’s degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 10 years prior relevant experience

  • GNC, Signal Processing, and/or Modeling / Simulation experience

  • Engineering experience in missile system applications to include at least three of the following or subject matter expertise in at least one:

    • Digital and/or modern control systems

    • Dynamics

    • Kalman filter design

    • Monte Carlo analysis

    • Development and/or simulation of physical systems

    • Signal processing

    • Verification and validation

    • System-level performance assessments

    • GPS/INS navigation systems, sensors, and algorithms

    • Assured Positioning, Navigation, and Timing (APNT) systems, sensors, and algorithms for navigation in GPS-degraded environments

  • Experience with MATLAB, Python, C, C++, and/or Object-Oriented design

  • Experience with GNC and/or Signal Processing algorithms within a simulation or physical environment

  • Experience managing or leading others in a technical and/or functional capacity within an engineering environment

  • Ability to obtain an Interim Secret U.S. government issued Security Clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Qualifications We Prefer

  • Advanced Degree in Engineering, Science, Physics, Mathematics, or a related STEM degree with 10 or more years of GNC, Signal Processing, and/or Modeling / Simulation experience

  • Ability to communicate effectively with executive leadership and customers regarding matters of significant importance

  • Ability to balance multiple concurrent priorities with overlapping deadline in an Agile environment

  • Subject Matter Expert in at least one of the following areas: RF algorithm design, GNC algorithm design, autopilot algorithm design or Software in Simulation

  • Experience with and demonstrable achievement in systems engineering principals with regards to product development

  • Engineering team leadership

What We Offer

  • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.

  • Relocation Eligible - relocation assistance is available for this position

Learn More & Apply Now!

  • Please consider the following role type definition as you apply for this role.  Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

  • This position requires onsite work in Tucson, AZ: https://careers.rtx.com/global/en/raytheon-tucson,-az-location

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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