Average Salary For Associate Software Engineer Jobs in Usa

Work Location: Chicago - Hybrid (Hybrid work: Tues-Thurs in the office. Monday & Friday remote)

Work Schedule: Normal CST business hours, Monday to Friday

Role Overview

We are seeking detail-oriented individuals to support the Search Log Quality (SLQ) systems through a combination of system monitoring, technical debt reduction, and quality assurance. You will play a critical role in maintaining the health of our logging infrastructure, resolving visual element ownership, and helping to reduce the tech debt in our codebase.

Key Responsibilities

Responsibilities may vary according to the designated track; however, the following tasks are representative of the role:

SLQ Monitoring & Triage: Perform first-level triage for system errors, maintain and enhance SLQ monitors, and conduct audits to standardize filtering.

Visual Elements (VE) Maintenance: Resolve ownership staleness bugs, update metadata/screenshots for active VEs, and identify/cleanup unused tags.

Infrastructure & Code Migration: Assist in migrating logging code to new frameworks (e.g., log routing), refactoring C++ logic, and transitioning frontend tools from React to Boq Wiz.

Quality & AI Verification: Validate AI-generated boilerplate code and VE suggestions, and conduct human evaluations for internal tools like Seeker and Sherlog.

Documentation: Analyze documentation gaps by grouping common technical questions and creating "canonical bug" collections for training.

Candidate Requirements

To be considered for this role, applicants must possess the following foundational qualifications:

A Bachelor’s degree or a comparable level of practical professional experience.

At least 3 years of software development experience using one or more languages (or 1 year for those with an advanced industry-related degree).

2 years of applied or academic experience working with algorithms and data structures.

Desired Technical Background

Advanced proficiency in SQL and Go.

Practical coding experience with at least one of the following: Java, C++, or Kotlin.

Understanding of distributed systems, RPC infrastructure, multi-threading, and asynchronous programming.

Proven ability to troubleshoot and identify root causes for production-level issues.

Professional & Interpersonal Skills

Excellent communication and cross-functional collaboration abilities.

Resourceful approach to problem-solving in high-velocity environments.

A proactive mindset and enthusiasm for learning

Minimum Qualifications

1-3 years of experience (or equivalent projects/internships)

Python experience — scripting, automation, basic data processing

Experience with Linux environments (command line, SSH, basic system administration)

Willingness to work hands-on with physical hardware

Strong debugging instincts — you dig until you find the root cause

Nice to Have

Experience working with Android devices (ADB, logcat, shell commands)

Familiarity with 6DoF robots

Experience with modern C++

Experience with VR/AR devices or embedded systems

Version control with Git / Buck / Mercurial

Job Title: Manufacturing Engineer

Location: Oshkosh, WI 54901

Duration: 12+ Months

Summary of Job:

The Associate Manufacturing Engineer is an entry-level engineering role responsible for designing new or improved components, tooling, and manufacturing processes to support production operations. The position works closely with plant engineering teams to introduce new products into manufacturing facilities, develop assembly tooling, and support prototype builds. This role provides hands-on engineering support while developing skills in manufacturing processes, CAD modeling, and product design.

Must-have/Required skills:

• Bachelor’s degree in Engineering (Mechanical preferred) or related field (strong candidates with an Associate’s degree may be considered)
• Experience with CAD modeling software and 3D design tools
• Strong mechanical engineering fundamentals
• Familiarity with mechanical design principles and material applications
• Ability to perform basic engineering calculations and technical analysis
• Strong analytical and problem-solving skills
• Ability to work collaboratively with engineering and manufacturing teams
• Proficiency with Microsoft Office Suite (especially Excel)

Key Responsibilities:

• Design new and improved components, tooling, and assembly fixtures, ensuring compliance with engineering standards
• Prepare vehicle layouts, detailed component drawings, and conduct basic engineering calculations
• Collaborate with plant engineering teams to identify tooling requirements for new products and support assembly floor implementation
• Generate bills of materials (BOMs), assembly drawings, and technical documentation
• Assist senior engineers with project tasks, process planning, and product introduction activities
• Utilize CAD and engineering software to support design, modeling, and analysis tasks

Overview

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

Students are our top priority.
We strive for excellence.
We thrive on diversity.
We celebrate collaboration.
We champion innovation.
We safeguard freedom of inquiry and expression.
We nurture the wellbeing of our community.
We act ethically.
We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

About the College of Computing at the Georgia Institute of Technology

The College of Computing has been a leader in defining modern computing as a paradigm that combines the foundations of theoretical mathematics and information science, the force of invention in computational systems and processes, and interdisciplinary practice that integrates innovation in computing with all facets of life. Today, the college comprises five schools that offer unique academic programs and conduct research specifically related to their concentration areas: Computer Science, Computing Instruction, Cybersecurity and Privacy, Interactive Computing, and Computational Science and Engineering.

The Team

The Center for Scientific Software Engineering (CSSE) is focused on the development and dissemination of software engineering best practices to accelerate both the quality and pace of scientific discovery at Georgia Tech and throughout the scientific community.

Atlanta, GA

The School of Computational Science and Engineering (CSE) at GA Tech is seeking to hire a Research Engineer (Open Rank) to serve as a Product Manager. CSE is enhancing our impact on the Georgia Tech ecosystem through new programs that help students become better Research Software Engineers. With this increased capacity, we will amplify the impact of research conducted by Georgia Tech's scientific community. We are expanding our team of 6 professional software engineers (with varying degrees of industry experience) to include a Product Manager who is excited about working in a highly dynamic and research-oriented environment.

This is a hybrid working position.

• Partner with Georgia Tech faculty to identify areas of scientific research likely to benefit from dedicated Research Software Engineering.
• Establish goals and requirements to create new functionality that maximize Research Software Engineering contributions.
• Pair students with Research Software Engineering mentors in the Center for Scientific Software Engineering.
• Partner with student Research Software Engineers to create development plans that deliver agreed-upon functionality.
• Monitor the progress of student Research Software Engineers as they embark on established development plans.
• Refine CSSE team processes to achieve our collective goals more efficiently.
  

This position vacancy is an open rank announcement. Final job offer will be dependent on candidate qualifications in alignment with Research Faculty Georgia Tech Faculty Handbook (faculty-handbook/3.2.1-research-faculty-hiring-and-promotion-guidelines)

Research Engineer I

Bachelor's degree

Research Engineer II

• Three (3) years of relevant full-time experience after completion of Master's or
• Five (5) years of relevant full-time experience after completion of Bachelor's or
• Doctoral Degree

Senior Research Engineer

• Master's degree with seven (7) years of relevant full-time experience after completion of that degree, or
• Master's degree with nine (9) years of relevant full-time experience after completion of a Bachelor's degree, or
• Doctoral degree with four (4) years of relevant full-time experience after completion of a Bachelor's degree

Principal Research Engineer

• Master's degree with Eleven (11) years of relevant full-time experience or
• Doctoral degree with Seven (7) years of relevant full-time experience after completion of a Bachelor's degree
• One (1) year of relevant full-time experience
• Experience in Data Science, Network Science, Algorithms, Machine Learning and AI.

• Bachelor's Degree in Computer Science, Electrical Engineering, a STEM-related field, or equivalent practical experience.
• Minimum of 4 years of experience in product management.
• Experience working with open-source software and open-source communities.
• Experience collaborating with research stakeholders in academic or industry settings.
• Proven ability to create clear and compelling software specification documents.
• Experience working closely with software engineers to define feature scope and development estimates.
• Strong product thinking, with the ability to synthesize information quickly and take decisive action.
• Empathy for users and experience engaging with customers and stakeholders to understand their needs.
• Ability to prioritize effectively in environments with limited resources, ambiguity, or competing demands.
• Strong interpersonal skills and the ability to build positive, collaborative relationships.
• Clear and compelling communication skills, both verbal and written.
• Understanding of the software development lifecycle and its various phases.
• Awareness of opportunities and challenges associated with Generative AI technologies.

Requests for information may be directed to Dr. Dave Brownell: .

The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

This is not a supervisory position.
This position does not have any financial responsibilities.
This position will not be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P-Card).
This position will not travel
This position does not require security clearance.

CENTER FOR SCIENTIFIC SOFTWARE ENGINEERING

The Center for Scientific Software Engineering (SSE) at Georgia Tech (one of the four inaugural Virtual Institute for Scientific Software centers) supports the development of better quality, more sustainable scientific software. To achieve this goal, the Center:

• Creates custom software solutions in partnership with scientific researchers.
• Provides guidance on state-of-the-art tools, technology, and techniques.
• Encourages best practices in open science and the open-source software that supports it.
• Creates and supports long-term scientific platforms and systems.
• Educates students as they create software solutions and develop their software engineering skills.
  

OPPORTUNITY

You are a good fit for this team if you have the following.

• Desire to participate in an exceptional team that pushes the boundaries of science and software.
• Desire to learn, grow, coach, and be coached.
• Ability to learn new concepts across different scientific domains.
• Ability to lead and contribute with a clear understanding of your capabilities and areas for growth.
• Positive, open, and team-oriented approach to work.
• Entrepreneurial drive and ability to thrive in open-ended environments.

The candidate of choice will be required to pass a pre-employment background screening. employment/pre-employment-screening.

Open date: February 26, 2026

Next review date: Thursday, Mar 12, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Saturday, Mar 28, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for a Professional Researcher at the Assistant, Associate, or Full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The researcher will conduct independent research at a level comparable to the Professor series.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

This position will focus on advanced, independent research leading the ABC computational team to develop vision-transformer-based foundation machine learning models. The Researcher will work closely with an interdisciplinary team of optical physicists, engineers, and computational imaging researchers to achieve the ambitious goal of creating a generative AI model for segmenting and querying complex 4D high-resolution data of zebrafish development. This is an exciting opportunity to contribute to advancing biological imaging and AI-driven data analysis at the intersection of biology and computational science.

As this project grows, the individual will be expected to expand their leadership and adapt to the evolving scope of the research. The role will begin with leading efforts to supervise data collection and management, model development, and collaborating with leadership across the center. The researcher will build and manage a team of data scientists, and computational biologists to test AI-driven imaging models and will facilitate scientific collaborations with local, domestic, and international researchers. This position will take on a growing role and contribute to a groundbreaking initiative in biological imaging.

Key Responsibilities:

*Conduct and design independent research and lead a team of data scientists and software engineers to enable the development of state-of-the-art AI models for light sheet microscopy data.

*Collaborate with experts in optical physics, engineering, and computational imaging to support a foundational AI model for high-resolution developmental biology data.

*Conduct and lead experimental design, data acquisition, and data analysis pipelines to ensure optimal data quality.

*Facilitate and maintain scientific collaborations with local, domestic, and international researchers as the project expands.

*Publish research findings in high-impact journals and presenting at scientific conferences.

*Supervise and mentor graduate students, postdoctoral fellows, staff scientists, and academic research titles involved in machine learning and biological data analysis.

*Lead the development of new AI models and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Oversee the design and development of new machine learning tools for petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry).

*Advise on applications of these tools for biological imaging; collaborate with graduate students, postdoctoral fellows and academic research titles on specific projects to test, learn and implement for general and specific use cases.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Identify and study scaling laws for machine learning models on large-scale 5D light sheet datasets.

*Organize and plan on the design and development of new AI techniques to further ABC's mission.

Lab:

PhD (or equivalent international degree)

Two (2) years of post PhD research experience.

For consideration for Associate Researcher rank, a minimum of 8 years of post PhD research experience as a group leader or principal investigator (PI) supervising a team of PhD-level scientists in industry or academia.

For consideration for full Researcher rank, a minimum of 14 years post PhD research experience, including a minimum of 8 years of experience leading a team as a principal investigator (PI) at the university level or in industry with demonstrated success managing graduate students, postdoctoral researchers, technicians, or equivalent positions.

*PhD or equivalent international degree in Data Science, Computer Science, Bioinformatics or Related field.

*Hands-on experience with developing machine learning models for large-scale light sheet microscopy.

*Strong publication record indicating research independence and leadership.

*Excellent communication, organizational, and leadership skills.

*Proven track record of interdisciplinary collaboration, especially in integrating machine learning with biological research, physics, engineering, or computational fields.

*Demonstrated experience working with large-scale biological datasets, including experience with computational image analysis.

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras.

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups.

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond).

*Expertise in programming in C/C++, MATLAB, Bash.

*Expertise in databases, data infrastructure, data governance.

*Expertise in high performance computing using SLURM or LSF.

*Experience with PyTorch, JAX, or Tensorflow.

*Experience with NVIDIA CUDA and related OpenMP programming.

*Experience with cloud services (AWS, GCP, Azure, etc.).

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc.).

*Experience supervising and mentoring undergraduate/graduate students, and/or technicians.

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers.

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks.

*Expertise in leading teams in executing machine learning projects, as evidenced by last author peer-reviewed publications within their scientific discipline.

*Readiness to scale efforts and grow with the expanding scope of the project, including building and managing a team and facilitating collaborations.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley 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, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Clearance Requirement: Active DoD Clearance (Required)

Certification Requirement: IAT Level II certification required (or obtainable within 6 months of hire)

Position Overview

We are seeking a motivated Cloud Systems Engineer . This entry-level engineering role focuses on ensuring stability, scalability, and reliability of cloud-based systems supporting mission-critical applications.

The selected candidate will collaborate with senior engineering teams to support cloud platforms, assist with system integration activities, and maintain distributed virtual environments operating within secure enterprise networks.

Key Responsibilities

• Support stability, sustainability, and performance of enterprise cloud-based infrastructure and software systems
• Assist in system integration, verification, validation, and operational support activities
• Monitor and maintain distributed virtual machine environments across cloud platforms
• Implement proactive engineering mechanisms to maintain system health and availability
• Perform functional analysis, system evaluations, and technical trade studies
• Troubleshoot system performance, configuration, and operational issues
• Develop and maintain technical documentation, procedures, and runbooks
• Collaborate with engineering teams to improve automation and operational efficiency
• Ensure compliance with DoD cybersecurity standards and operational requirements
• Participate in continuous learning and technical development initiatives

Required Qualifications

• Bachelor’s degree in computer science, Information Technology, Systems Engineering, or related field
• 1–2 year of experience in cloud systems, IT infrastructure, or systems engineering
• Active DoD Security Clearance (required at time of hire)
• Basic knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform
• Understanding of Windows or Linux operating systems
• Knowledge of networking fundamentals and virtualization concepts
• Strong analytical and problem-solving skills
• Ability to work effectively in a team-oriented DoD environment
• U.S. Citizenship required

Certification Requirements

• DoD IAT Level II Certification (Security+ CE or equivalent)
• Minimum one cloud certification within 6 months of hire, such as:
• AWS Certified Cloud Practitioner / Solutions Architect Associate
• Microsoft Azure Fundamentals / Azure Administrator
• Google Associate Cloud Engineer

Preferred Qualifications

• Internship or academic experience supporting cloud or infrastructure environments
• Exposure to VMware, Hyper-V, or virtualized environments
• Basic scripting experience (PowerShell, Python, or Bash)
• Familiarity with automation or Infrastructure-as-Code concepts
• Experience supporting Federal or DoD programs

Date Posted:

Country:

Location:

Position Role Type:

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

Security Clearance:

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.

Raytheon Software Security Sensors and Effectors Department is looking for a Senior Software Engineer in Tucson, AZ.

• "Raytheon In Tucson": ,-az-location

• As a Principal System Security software engineer, you will be involved with software and firmware design as well as development, integration, and testing of real-time missile software.
• Apply System Security principles to the design and implementation of hardened Radar software applications.
• Develop software applications using C and C++ languages on a variety of computing platforms
• Understand real-time software design and the performance implications associated with specific System Security implementations.
• Work closely with the Systems Security Engineering team to define and implement requirements.
• Work in a common development environment to support and facilitate program ability to leverage specific capabilities.
• Interface with customer community to review technical design and support verification of system maturity.
• Work onsite in Tucson, AZ.

Qualifications You Must Have:

• Typically requires a Bachelor's in Science, Technology, Engineering, or Mathematics AND a minimum of 8 years of relevant experience.
• Experience with C / C++, and VxWorks or similar.
• Experience with AMD Xilinx UltraScale+ or Versal MPSoC or similar Embedded Processors.
• Embedded Software Security experience.
• The ability to obtain an interim secret U.S. security clearance prior to the start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Qualifications We Prefer:

• Prior experience working with Raytheon UltraStack Hardware / Cyrpto algorithms / ARM architecture is highly preferred.
• Experience with qualification and verification of software applications
• Experience designing, implementing, testing, or fielding real-time security-oriented solutions on Department of Defense (DoD) programs (embedded experience highly preferred)
• Experience using security-relevant tools and devices for security auditing, network security, host/server security, communication security, or policy management.
• Experience in Agile and DevSecOps environments
• Experience in an Agile/Scrum/Kanban frameworks and development environments
• Experience using software configuration management and bug tracking tools
• Experience with Python / Perl
• Knowledge of modern computer architecture and hardware technologies including:
• PCIe, GPIO, I2C, SATA
• Field Programmable Gate Arrays (FPGAs)
• Application-Specific Integrated Circuits (ASICs)

What We Offer:

• Whether you're just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs.
• Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care.
• "Tucson is Awesome":
• "Winter in Tucson":

Learn More & Apply Now!

• 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 a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here:

Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round.

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.

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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