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Algorithmic Engineer Jobs in Nevada (NOW HIRING)

Senior Firmware Engineer

Reno, NV · On-site

$119K - $157K/yr

... algorithms, and system testing both in the lab and on real products. If you enjoy hands-on time in ... Mentors less experienced engineers Minimum Job Requirements * Bachelor of Science in Electrical ...

Senior Firmware Engineer

Reno, NV · On-site

$119K - $157K/yr

... algorithms, and system testing both in the lab and on real products. If you enjoy hands-on time in ... Mentors less experienced engineers Minimum Job Requirements * Bachelor of Science in Electrical ...

... control algorithms for SST operation. * Own embedded bootloader architecture, embedded security ... Work with other talented engineers to solve complex problems, share knowledge, and ensure project ...

Determine, understand, and evaluate which signal processing techniques and algorithms are used to ... Engineer: Applicants must have an engineering degree from an ABET-accredited program. US-only ...

Develop, improve, and verify algorithms used for device calibrations. * Develop flow metrology ... Apply engineering principles of fluid mechanics, mass transfer, thermodynamics and control systems ...

Develop, improve, and verify algorithms used for device calibrations. * Develop flow metrology ... Apply engineering principles of fluid mechanics, mass transfer, thermodynamics and control systems ...

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Showing results 1-20

Algorithmic Engineer information

See Nevada salary details

$60.6K

$113.7K

$206.7K

How much do algorithmic engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for algorithmic engineer in Nevada is $113,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,000.00 and $134,900.00 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 Nevada? For Algorithmic Engineer jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Algorithmic Engineer jobs in Nevada look for? The top searched job categories for Algorithmic Engineer jobs in Nevada are:
What cities in Nevada are hiring for Algorithmic Engineer jobs? Cities in Nevada with the most Algorithmic Engineer job openings:
Infographic showing various Algorithmic Engineer job openings in Nevada as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $113,675 per year, or $54.7 per hour.

Senior Embedded Software Engineer

EO Solutions Corp

Las Vegas, NV • On-site

$118K - $155K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

Job Title: Senior Embedded Controls & Signal Processing Engineer

Job ID: 27762144

Location: Las Vegas, NV, 89119

Position: Embedded Controls & Signal Processing Engineer
Focus: Space Domain Awareness (SDA)

About EO Solutions
EO Solutions Corp, a rapidly growing aerospace and defense contractor, is headquartered in Las Vegas, Nevada, with key operational offices in Maui, Hawaii, and Huntsville, Alabama. We specialize in delivering innovative solutions across hardware and software domains, with a strong emphasis on artificial intelligence (AI) and machine learning (ML). Our expertise enables us to quickly prototype and implement groundbreaking technologies in Directed Energy and Space Domain Awareness. By staying at the forefront of innovation and excellence, EO Solutions consistently meets the evolving challenges of today’s aerospace and defense sectors.

Role Overview

This is a hybrid embedded software and algorithms role. Beyond core embedded development, you will design, implement, and tune real-time signal processing and control algorithms that run on resource-constrained hardware. We are looking for an engineer who is equally comfortable writing production embedded C/C++ and developing, simulating, and tuning control loops and DSP algorithms—and who can carry an algorithm from concept and modeling through to optimized, deployed code.

Key Responsibilities

  • Drive the full embedded software development lifecycle, from concept through deployment and maintenance.

  • Develop, implement, and optimize signal processing and control algorithms, carrying them from concept and modeling (e.g., MATLAB/Simulink, Python) through to deployed, real-time embedded code.

  • Design, implement, and tune control loops (e.g., PID, state-space, feedback/feedforward) for real-time embedded platforms, balancing stability, latency, and performance constraints.

  • Characterize and validate algorithm and control-loop performance against real-world sensor data, then iterate and tune to meet system requirements.

  • Collaborate with cross-disciplinary teams to design, implement, and test software solutions for aerospace and defense applications.

  • Optimize software for performance, reliability, and maintainability using cutting-edge tools and methodologies.

  • Provide technical mentorship to junior engineers, fostering a culture of best practices and continuous learning.

  • Stay abreast of emerging trends and technologies to enhance EO Solutions’ offerings and maintain a competitive edge.

Basic Qualifications

  • Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.

  • At least 5 years of software development experience.

  • Proficiency in C, C++, and other programming languages for systems programming.

  • Proficiency with Python for algorithm prototyping, scripting, and data analysis.

  • Hands-on experience with real-time Linux and RTOS.

  • Solid understanding of embedded systems architectures, design constraints, and optimization techniques.

  • Demonstrated experience developing and implementing algorithms (signal processing, controls, estimation, or similar) for real-time systems.

  • Hands-on experience designing, implementing, and tuning control loops (e.g., PID, state-space, feedback/feedforward) on embedded hardware.

  • Strong foundation in digital signal processing (filtering, FFT/spectral analysis, sampling, fixed- and floating-point implementation).

  • Solid grounding in control theory and applied mathematics (linear systems, feedback control, and estimation/filtering such as Kalman filters).

  • Experience translating algorithms from modeling and simulation tools (e.g., MATLAB/Simulink, Python/NumPy) into optimized embedded C/C++.

  • ARM, Linux, and Architecture knowledge.

  • Understanding of hardware-software integration with experience in ARM and x86 platforms.

  • Must be a U.S. citizen is required due to the nature of our government contracts.

Desirable Qualifications

  • Eligible to obtain a U.S. government security clearance.

  • Master’s degree in Electrical Engineering, Controls, Signal Processing, or a related field.

  • Familiarity with Directed Energy and Space Domain Awareness technologies.

  • Experience with sensor fusion, state estimation, and target tracking algorithms for dynamic systems.

  • Familiarity with MATLAB/Simulink code generation, fixed-point optimization, or DSP/FPGA targets.

  • Experience with model-based design and hardware-in-the-loop (HIL) testing or simulation.

  • Experience interfacing with sensors and real-time data acquisition (e.g., ADC/DAC, SPI/I2C, high-rate telemetry).

Why Join EO Solutions?
At EO Solutions, our people are our greatest asset. We offer:

  • The opportunity to work on innovative space technologies and make a meaningful impact.

  • A collaborative and supportive environment that values growth, creativity, and well-being.

  • A competitive salary and comprehensive benefits package, including:

  • 401(k) Matching: Invest in your future with our generous retirement plan.

  • Healthcare: Robust medical, dental, and vision plans for you and your family.

  • HSA: Support for health-related expenses.

  • Life Insurance: Comprehensive coverage for peace of mind.

  • Paid Time Off: Generous PTO policies to maintain work-life balance.

  • Relocation Assistance: Support for qualified candidates moving to Las Vegas.

  • Tuition Reimbursement: Opportunities for continued education and skill development.

EO Solutions Corp is an Equal Opportunity Employer.
We are committed to fostering an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by applicable law.

Benefits:

  • 401(k)

  • 401(k) matching

  • Dental insurance

  • Health insurance

  • Life insurance

  • Paid time off

  • Retirement plan

  • Tuition reimbursement

  • Vision insurance