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Contract Rf Optimization Engineer Jobs in Morton Grove, IL

FPGA Engineer

Hoffman Estates, IL · Remote

$150K - $200K/yr

... optimization. * Takes ownership of complex technical problems and drives them to resolution. * Collaborates effectively across RF, embedded, software, and systems engineering teams. Bonus Points

FPGA Engineer

Hoffman Estates, IL · On-site

$150 - $200/hr

... optimization. * Takes ownership of complex technical problems and drives them to resolution. * Collaborates effectively across RF, embedded, software, and systems engineering teams. Bonus Points

Generate schematics that include microprocessors, FPGA, RF, analog, power circuits, interface logic ... Use layout tools (Cadence a plus) for part placement and for optimal PCB routing of high speed ...

Principal Antenna Engineer

Schaumburg, IL · On-site

$100K - $160K/yr

RF Architecture Integration: Collaborate with RF Front-End (RFFE) teams to integrate antennas with ... Some contracts may have higher-level clearance requirements. Travel RequirementsUnder 10% ...

Showing results 41-60

Contract Rf Optimization Engineer information

See Morton Grove, IL salary details

$36.8K

$117.1K

$182.1K

How much do contract rf optimization engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for contract rf optimization engineer in Morton Grove, IL is $117,074.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $138,300.00 per year, depending on experience, location, and employer.

What is the difference between Contract Rf Optimization Engineer vs RF Test Engineer?

AspectContract Rf Optimization EngineerRF Test Engineer
Primary FocusOptimizing radio frequency performance and signal qualityTesting and validating RF components and systems
Required SkillsRF engineering, signal analysis, optimization techniquesRF testing, measurement tools, troubleshooting
Work EnvironmentDesign labs, field testing, optimization projectsTesting labs, production lines, quality assurance
CertificationsRF engineering certifications, relevant industry standardsTest and measurement certifications, industry standards

While both roles involve RF technology, the Contract Rf Optimization Engineer focuses on enhancing RF system performance through optimization techniques, whereas the RF Test Engineer specializes in testing and validating RF components to ensure quality and compliance.

What are the most commonly searched types of Rf Optimization Engineer jobs in Morton Grove, IL?

The most popular types of Rf Optimization Engineer jobs in Morton Grove, IL are:

What cities near Morton Grove, IL are hiring for Contract Rf Optimization Engineer jobs?

Cities near Morton Grove, IL with the most Contract Rf Optimization Engineer job openings:

Infographic showing various Contract Rf Optimization Engineer job openings in Morton Grove, IL as of August 2026, with employment types broken down into 83% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $117,074 per year, or $56.3 per hour.

Software Engineer, Quantum Systems & Digital Engineering

Infleqtion

Chicago, IL • On-site

$145K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

We are seeking a Software Engineer, Quantum Systems & Digital Engineering to develop advanced software tools for the design, simulation, integration, and manufacturing of complex quantum systems. 

This role will focus on building modular software environments that connect models, data, and engineering workflows across multiple technical domains. Initial applications will include digital-twin and design-automation capabilities for quantum sensing systems, with broader opportunities to contribute to software infrastructure supporting quantum system development, manufacturing, test, and deployment. 

The ideal candidate combines strong scientific software engineering skills with familiarity in model-based systems engineering, multiphysics simulation, high-performance computing, machine learning and optimization. This individual will work closely with physicists, systems engineers, optical and mechanical engineers, manufacturing teams, and software developers to turn fragmented engineering workflows into scalable, integrated software platforms. 

Job Responsibilities 

  • Develop and maintain modular software platforms that integrate models, data, and engineering workflows across RF, optical, mechanical, atomic physics, and other technical domains. 
  • Build interfaces between engineering and scientific computing tools, enabling coordinated simulation, analysis, optimization, and design workflows. 
  • Support model-based systems engineering (MBSE) activities by developing software tools that connect requirements, models, interfaces, parameters, verification data, and system-level performance. 
  • Develop HPC- and GPU-enabled workflows for parameter sweeps, sensitivity analysis, tolerance studies, optimization, and computationally intensive simulation. 
  • Apply numerical optimization, reduced-order modeling, surrogate modeling, machine learning, and other data-driven techniques to accelerate engineering design and improve manufacturability. 
  • Develop APIs, data models, schemas, visualization tools, and workflow orchestration capabilities that enable reliable exchange of information across heterogeneous engineering tools. 
  • Collaborate with domain experts to validate models against experimental data and translate engineering needs into maintainable, production-quality software. 
  • Embrace and help establish effective use of AI-assisted software engineering tools to accelerate development, testing, documentation, debugging, code review, and engineering analysis while maintaining strong software quality and technical rigor. 

Requirements

  • BS or MS in Computer Science, Physics, Applied Mathematics, Electrical Engineering, Mechanical Engineering, Systems Engineering, or a closely related field. 
  • Strong scientific or engineering software-development experience, with high proficiency in Python and familiarity with modern numerical and scientific-computing libraries. 
  • Experience developing software that integrates multiple simulation, modeling, engineering, or scientific computing tools. 
  • Strong understanding of numerical methods, optimization, simulation, data analysis, or computational modeling. 
  • Familiarity with systems engineering concepts, including requirements, interfaces, system architecture, verification and validation, trade studies, or multidisciplinary engineering workflows. 
  • Experience with professional software-engineering practices including version control, automated testing, CI/CD, documentation, modular architecture, and maintainable API design. 
  • Demonstrated ability to collaborate effectively with scientists and engineers across multiple technical disciplines. 
  • Demonstrated ability and enthusiasm for using modern AI-assisted development tools to improve software-engineering productivity and quality. 

Preferred Qualifications 

  • Advanced degree in physics, engineering, computer science, applied mathematics, systems engineering, or a related computational discipline. 
  • Experience with model-based systems engineering (MBSE) tools, methodologies, or standards, such as SysML, digital thread approaches, requirements traceability, or model-centric engineering workflows. 
  • Experience with multiphysics or engineering platforms such as Ansys, Zemax OpticStudio, SolidWorks, COMSOL, MATLAB/Simulink, or similar tools. 
  • Experience developing digital twins, simulation orchestration frameworks, engineering automation tools, or model-based design environments. 
  • Experience with machine learning, surrogate modeling, Bayesian optimization, uncertainty quantification, or design-space exploration. 
  • Familiarity with quantum technologies, optical systems, RF systems, atomic physics, precision sensing, or other complex physical systems. 
  • Experience with HPC, GPU acceleration, distributed computing, or cloud-based scientific-computing environments. 
  • Experience applying generative AI, coding agents, or other AI-enabled tools within scientific or engineering software-development workflows. 

Benefits

  • Salary range: $145,000 to $170,000 per year
  • 100% company-paid medical, dental, vision, short/long-term disability  
  • Employer-funded Health Savings Account  
  • Unlimited PTO  
  • 401(k) match  
  • Company-paid Life and AD&D Insurance  
  • Flexible Savings Account  
  • Paid FMLA, Maternity/Paternity Leave  
  • Employee Assistance Program  
  • Student Loan Repayment 
  • Equity Package

Equal Opportunity

Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin color, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer.

Note

This position may require access to information protected under U.S. export control laws and regulations for quantum computing technology. Please note that any offer for employment may be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license.

Contact Information

If this opportunity interests you and you fit the job description, please submit an application. If you need assistance or an accommodation due to disability, please feel free to contact us at hr@infleqtion.com.

Notice to Recruitment Agencies:

Infleqtion does not accept unsolicited resumes from agencies. Infleqtion is not responsible for any fees related to unsolicited resumes.