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Algorithmic Engineer Jobs in Arizona (NOW HIRING)

FPGA Engineer

Phoenix, AZ · On-site

$129K - $165K/yr

S. Government Security Clearance FPGA Engineer The EndoSec FPGA Engineer is responsible for the ... cryptography algorithms using state-of-the-art FPGA hardware. Modeling and Simulation: Use ...

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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:
FPGA Engineer

FPGA Engineer

EndoSec LLC

Phoenix, AZ • On-site

$129K - $165K/yr

Full-time

Re-posted 3 days ago


Job description

EOE Statement
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.
Description
Apply Now
RTL, C/C++, Python, VHDL, Verilog, Tcl, cryptography, hardware, embedded software, System Integration, Hardware Security, Xilinx, Simulation, IP core, Versal, Stratix, concept to deployment, Vivado, GHDL, Questa, Quartus Prime, Zynq, Agilex, AXI, ACE, Avalon, FPGA verification tools, reverse engineering, cocotb, pyuvm
Full Time
Travel required to 10%.
Must be able to apply for and maintain a U.S. Government Security Clearance
FPGA Engineer
The EndoSec FPGA Engineer is responsible for the design, development, testing, and maintenance of IP cores and FPGA-based systems used in hardware security applications.
Key Responsibilities
FPGA Design and Development: Design and develop IP cores and FPGA configurations implementing the latest in leakage-resilient hardware cryptography algorithms using state-of-the-art FPGA hardware.
Modeling and Simulation: Use simulation tools and verification frameworks to ensure mathematically-correct logic before hardware deployment.
Hardware/Software Design: Work closely with other engineers to integrate FPGA designs with application software and embedded systems. Implement embedded software-based testing solutions where applicable to validate FPGA designs.
Performance Optimization: Optimize FPGA designs for timing, resource utilization, and throughput. Identify and resolve system bottlenecks.
Testing and Validation: Create comprehensive test and verification plans for FPGA components, conduct unit and integration testing, and validate hardware performance against requirements in a remote environment.
System Integration: Ensure seamless integration between internally-developed and third-party IP cores, FPGA designs, and embedded systems. Collaborate with other engineers to develop and maintain system-level architecture.
Troubleshooting and Debugging: Utilize debugging tools and techniques to diagnose and resolve issues within FPGA designs and hardware platforms.
Documentation: Prepare detailed documentation, including design specifications, testing protocols, and user guides, to support system development and maintenance.
Continuous Learning: Actively stay up-to-date with the latest advancements in FPGA technology and hardware security to continually refine and enhance system capabilities.
Position Requirements
Position Requirements
- Ability to obtain and maintain a US government security clearance
- Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field
- Experience developing FPGA projects and IP cores from concept to deployment, including design, simulation, testing, optimization, release, and maintenance
- Proficiency with FPGA design tools (Vivado, Quartus Prime), hardware description languages (VHDL, Verilog), hardware simulation software (GHDL, Questa)
- Experience working with programmable SoCs and development platforms from Xilinx or Intel (Versal, Zynq, Agilex, Stratix) and implementing communication between software and hardware
- Strong programming skills in scripting languages (Python, Tcl) and C/C++ for hardware/software integration
- Experience implementing standard IP core interfaces (AXI, ACE, Avalon)
- Strong analytical and problem-solving skills, with the ability to manage complex hardware design issues effectively
- Hands-on experience with hardware testing, instrumentation, and debugging tools (ILA, VIO)
- Strong documentation skills and the ability to convey complex information clearly and effectively
- Collaborative mind-set and excellent communication skills to work effectively with cross-functional teams
Preferred Qualifications
- Advanced degree (M.S. or Ph.D.) in Electrical Engineering, Computer Engineering, or a related field
- Knowledge of cryptographic algorithms and experience implementation mathematical algorithms in hardware
- Experience in hardware security, tamper detection, and anti-reverse engineering techniques
- Experience with hardware acceleration techniques for computationally intensive tasks
- Familiarity with Python-based FPGA verification tools (cocotb, pyuvm)
Full-Time/Part-Time
Full-Time
This position is currently accepting applications.

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About EndoSec

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

Washington, DC, US

Year founded

2013