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Algorithmic Engineer Jobs in Arizona (NOW HIRING)

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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Algorithmic Engineer information

See Arizona salary details

$55.4K

$104K

$189.2K

How much do algorithmic engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for algorithmic engineer in Arizona is $104,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $123,500.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior-level algorithmic engineers, especially those working in finance, technology, or specialized research roles, can earn $500,000 or more annually, often including bonuses and stock options. Achieving this level typically requires extensive experience, advanced skills in algorithms and programming, and working at top-tier companies or in high-demand industries.

What is the difference between Algorithmic Engineer vs Data Scientist?

AspectAlgorithmic EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related fields; programming skillsBachelor's or Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops algorithms for software, hardware, or embedded systems; often in tech or finance industriesAnalyzes data to extract insights; works in tech, finance, healthcare, and more
Employer & Industry UsageTech companies, finance firms, R&D departmentsTech companies, consulting firms, research institutions

While both roles require strong programming and analytical skills, Algorithmic Engineers focus on designing and implementing algorithms for systems and applications, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in tech environments but serve different primary functions.

Which 5 jobs will survive AI?

Algorithmic engineers are likely to continue thriving as AI advances because they develop and optimize algorithms that underpin AI systems. Jobs requiring complex problem-solving, creativity, and human judgment—such as data scientists, AI ethicists, cybersecurity specialists, healthcare professionals, and software developers—are also expected to persist due to their reliance on nuanced understanding and adaptability beyond automation. These roles often involve skills in programming, critical thinking, and domain expertise that are less easily replaced by AI.

What does an algorithm engineer do?

An algorithm engineer designs, develops, and optimizes algorithms to solve complex problems and improve system performance. They often work with data structures, programming languages, and tools like Python or C++, and may focus on areas such as machine learning, data analysis, or software development. Their role involves analyzing requirements, testing algorithms, and ensuring efficiency in real-world applications.

What engineers make 300,000 a year?

Senior engineers in fields such as software, data engineering, and machine learning can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working at large tech companies or in specialized roles. Compensation often includes base salary, bonuses, and stock options, and requires strong technical expertise and industry demand.
What are popular job titles related to Algorithmic Engineer jobs in Arizona? For Algorithmic Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Algorithmic Engineer jobs in Arizona look for? The top searched job categories for Algorithmic Engineer jobs in Arizona are:
What cities in Arizona are hiring for Algorithmic Engineer jobs? Cities in Arizona with the most Algorithmic Engineer job openings:
Sr. Principal Systems Engineer - Missile Guidance, Navigation, & Control Engineer

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

Raytheon

Tucson, AZ

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Raytheon rating

9.1

Company rating: 9.1 out of 10

Based on 95 frontline employees who took The Breakroom Quiz

3rd of 527 rated manufacturers


Job description

Date Posted:

2026-06-22

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 RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. 

Raytheon brings 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. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense.

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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