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Extreme Engineering Solutions Jobs (NOW HIRING)

Extreme Networks

$80K - $110K/yr

Extreme Systems Engineer also provides support for RFI/RFP responses, organizes and leads Proof of Concept activities, designs solutions meeting customer requirements. Systems Engineer is also ...

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Extreme Engineering Solutions information

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$44.5K

$123.3K

$181.5K

How much do extreme engineering solutions jobs pay per year?

As of Sep 2, 2026, the average yearly pay for extreme engineering solutions in the United States is $123,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $140,500.00 per year, depending on experience, location, and employer.

What is Extreme Engineering Solutions?

Extreme Engineering Solutions generally refers to a company or teams that design and manufacture rugged, embedded computing solutions for use in harsh environments such as military, aerospace, industrial, and transportation applications. These solutions often include high-performance computer boards, systems, and software that can withstand extreme temperatures, vibration, and other challenging conditions. The goal is to provide reliable, mission-critical hardware and software that operates dependably in environments where standard equipment might fail. Extreme Engineering Solutions may also refer to the specialized engineering practices and technologies used to create such robust products.

What types of projects do engineers typically work on at Extreme Engineering Solutions, and how does cross-functional collaboration play a role?

Engineers at Extreme Engineering Solutions often work on the development of embedded computing systems for defense, aerospace, and industrial applications. Projects usually involve designing high-performance hardware and software solutions that require close collaboration with cross-functional teams, including hardware, software, and quality assurance engineers. Working in this environment means regularly participating in design reviews, troubleshooting sessions, and integration testing, which fosters teamwork and continuous learning. Collaboration is essential, as project requirements often evolve and require input from multiple technical disciplines to deliver robust, mission-critical products.

What are the key skills and qualifications needed to thrive as an Extreme Engineering Solutions engineer, and why are they important?

To thrive as an engineer at Extreme Engineering Solutions, you need a solid background in electrical or computer engineering, embedded systems, and experience with hardware and software integration, typically supported by a relevant engineering degree. Familiarity with tools like VHDL/Verilog, C/C++, Linux, and industry standards such as VPX or OpenVPX, as well as certifications like IPC or DoD security clearances, are often required. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills set top performers apart. These skills ensure the design and delivery of reliable, high-performance embedded computing solutions for mission-critical applications.

What is the difference between Extreme Engineering Solutions vs Embedded Systems Engineer?

AspectExtreme Engineering SolutionsEmbedded Systems Engineer
Required CredentialsBachelor's in Electrical, Computer Engineering or related field; certifications varyBachelor's or higher in Electrical, Computer Engineering, or related; certifications optional
Work EnvironmentDesign, develop, and test embedded hardware/software in R&D or manufacturing settingsDevelop and optimize embedded software/hardware for devices and systems
Industry UsagePrimarily in defense, aerospace, industrial automationConsumer electronics, automotive, medical devices, industrial systems

Extreme Engineering Solutions focuses on designing embedded hardware and software solutions for specialized industries, while Embedded Systems Engineers develop and implement embedded software and hardware across various sectors. Both roles require technical expertise but differ in scope and application.

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Extreme Engineering Solutions jobs near you
Infographic showing various Extreme Engineering Solutions job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $123,284 per year, or $59.3 per hour.

AI Principal Machine Learning Engineer (10189)

Extreme Networks

Seattle, WA • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

Job description

Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.

Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.

Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.

Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress.

Become part of something big with Extreme! As a global networking leader, learn why there is no better time to join the Extreme team.

Position details

Title of position: Principal Machine Learning Engineer - Gen AI, Machine Learning, Graph ML

Position type: Full time

Location: Seattle, WA / San Jose, CA

Position reports to: Director of SW Systems Engineering

Application deadline: Applications are being accepted on a rolling basis and this posting will remain open until filled.

Work authorization: We are unable to sponsor or take over sponsorship of an employment visa, including H-1B visas, at this time 

Scope:
 
Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time. At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence. 
About the position
  • Be a thought leader and forward thinker, help drive an innovative vision for our various products and platforms, design and launch strategic machine learning (ML) solutions and drive business-wide innovation.
  • Take the lead in the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations, lead technical discussions and strategy, and participate hands-on in design reviews, code reviews, and implementation.
  • Craft high-performance, high-scale microservices architectures, including synchronous and asynchronous web services.
  • Develop real-time online inferencing for highly complex models using Triton, TensorRT and mixed precision computing.
  • Mentor and develop other engineers on the team, establish technical direction and foster team culture.
  • Uphold the highest standards of technical rigor in engineering and operational excellence, build highly resilient and scalable systems, and champion operational and process improvements.
Basic Qualifications:
  • Degree in mathematics/computer science or related discipline.
  • 5 to 10 years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.
  • 5 to 10 years of experience in Python with an in-depth knowledge of its advanced features and libraries.
  • Expertise in designing RESTful APIs with hands-on experience with technologies such as FastAPI.
  • Proficient in Docker, Kubernetes, and modern CI/CD practices.
  • 3+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Experience as a mentor, tech lead or leading an engineering team.
Preferred Qualifications:
  • MS or PhD in Computer Science or equivalent experience in ML.
  • Experience working with ML technologies (PyTorch, Sagemaker, Triton, TensorRT, etc.).
  • Experience with NoSQL and document databases.
  • Proven ability to handle big data, optimize workflows, and improve system performance.
  • Come work with a team of highly talented engineers, and advance with us to achieve new heights every day!
 
  • Salary based on qualifications, experience and region up to USD 170 k to 240 K plus benefits.
Equal Employment Opportunity
  1. Extreme Networks, Inc. is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We are committed to taking affirmative action to employ and advance in employment qualified protected veterans, including disabled veterans, recently separated veterans, active-duty wartime or campaign badge veterans, and Armed Forces service medal veterans.
  2. Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (for example, stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks. We encourage people from underrepresented groups to apply.
Fair chance and background checks
  • Extreme Networks will consider qualified applicants with criminal histories in a manner consistent with the California Fair Chance Act, Los Angeles Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance for Employers, Philadelphia Fair Criminal Record Screening Standards Ordinance, Illinois Human Rights Act, Cook County Human Rights Ordinance, Seattle Fair Chance Employment Ordinance, and the San Francisco Fair Chance Ordinance. An applicant's conviction history will not be considered until after a conditional offer of employment has been made. Following any individualized assessment, applicants will be provided with the opportunity to respond before any adverse action is taken.
  • Extreme Networks does not seek salary history information from applicants and will not rely on salary history in determining whether to offer employment or in setting compensation.
This role offers a market‑competitive salary with an anticipated base compensation range of 170,000 to 240,000 USD. Actual compensation will depend on the selected candidate’s experience, qualifications, skills, and work location. The posted range reflects the amount Extreme Networks reasonably and in good faith expects to pay upon hire. This range is determined using objective, gender‑neutral criteria based on skills, experience, responsibility, and working conditions. In addition to base pay, this role is eligible for a performance‑based bonus and the full benefits package described below.Benefits and total rewards:

Extreme Networks offers a comprehensive benefits package. Specific benefits vary by country and may include:

  • Medical, dental, and vision insurance
  • Flexible work schedules and work-from-home opportunities where role permits
  • Paid time off, including open time off in eligible markets and statutory leave in all markets
  • Paid holidays in accordance with local practice
  • Retirement savings programs, including 401K matching in the United States
  • Employee Stock Purchase Program, where eligible
  • Adoption assistance and fertility treatment support, where eligible
  • Flexible spending accounts, where eligible
  • Employee assistance program
  • Tuition reimbursement, where eligible
  • Life and disability insurance

Benefits eligibility is based on country of employment, role, and employment status. Complete benefits details will be provided during the interview process and in the formal offer of employment.

Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.

We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.