Sr Staff Machine Learning Engineer Jobs in Colorado
Sr Staff Machine Learning Engineer jobs in Colorado are open across Boulder, Denver, and Golden and other Colorado metros, with employers like CRUSOE, Lunar Outpost, and Cisco hiring at every experience level. Find a role that fits below and apply directly.
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Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Software Engineering
General Summary:
Qualcomm Cloud AI is looking for an experienced software developer to work within an existing team to add firmware support for machine learning Edge and Datacenter use cases. The development target is Qualcomm’s next generation high-performance inference accelerator.
LOCATION: Boulder, Colorado, San Diego or Santa Clara CA
Candidate should have a background in embedded software development such as:
- board support packages
- device driver development
- RTOS
- secure boot
- trust-zone
- low-speed peripheral interfaces (I2C/SPI/UART)
- chipset power blocks
- clock tree management
- PCIe and efficient data movement using DMA.
Critical Skills and Aptitude:
- Experience in unit testing for C/C++ development
- Experience with development in C/C++ including debug and testing, preferable using GNU/LLVM tools) on embedded platforms using stop-mode debug tools such as JTAG/SWD
- Experience working with BSP development including device driver development, board-bring-up, RTOS’s, secure boot & trust zone
- Experience with development of peripheral drivers.
- Knowledge of RTOS, SoC architecture (core, cache, memory, bus architecture, IOs, etc.) and common hardware blocks and multi-threaded programming
- Experience with Source Code and Configuration management tools such as git/Gerrit
- Willingness to work in a structured software development environment with ability to work on low-level implementation (code & test)
- Willingness to work in a high-caliber international/multi-site team
- Good English communication (written and verbal) and positive interpersonal skills
The ideal candidate will have/demonstrate the following:
- Familiar with high speed interfaces such as PCIe and LPDDR
- Familiar with implementing systems with high reliability expectations such as use of ECC, PCI AER fields.
- Familiar with low speed interfaces such as I2C, SPI, SPMI, AVSBus & PMBus
- Familiar working with software running on Qualcomm’s QuRT RTOS (ARM Cortex-A CPU’s and Hexagon DSPs)
- Familiar with Qualcomm’s Core Software infrastructure e.g. Glink, QDSS, SOC power control algorithms such as dynamic frequency/voltage scaling.
- Experience working with and familiarity with important SOC building blocks like interrupt controller & timers
- Software development and debug tools including compilers, profilers, source control systems, emulators, JTAG and serial debuggers, and logic analyzers
Minimum Qualifications:
-
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. -
3+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
Required Skills:
- Experience with Windows Driver Frameworks. (WDF)
- Experience with Windows MCDM (Compute) drivers.
- C/C++ development.
- Experience with PCIe driver stack.
- Experience with WinDBG or other debug tools
- Experience with WPA
- Experience in unit testing tooling for C/C++ development.
- Knowledge of RTOS, SoC architecture (core, cache, memory, bus architecture, IOs, etc.) and common hardware blocks
- Experience with Source Code and Configuration management tools, git knowledge is required
Desirable Skills and Aptitudes
- 8+ years of relevant experience
- Understanding of Windows ML stack
- Familiar with high speed interfaces such as PCIe and LPDDR
- Familiar with implementing systems with high reliability expectations such as use of ECC, PCI AER fields.
- Experience working with and familiarity with important SOC building blocks like interrupt controller & timers
- Software development and debug tools including compilers, profilers, source control systems, emulators, JTAG and serial debuggers, and logic analyzers
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm 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, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$146,400.00 - $219,600.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
See All 8 Sr Staff Machine Learning Engineer Jobs in Colorado
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Find JobsSr Staff Machine Learning Engineer Jobs by City in Colorado
Where Colorado roles are concentrated, by current openings.
Sr Staff Machine Learning Engineer Job Market in Colorado
A snapshot from current Colorado openings, updated as new roles post.
Who's Hiring
- CRUSOE2

- Lunar Outpost2

- Cisco1

- Google1

- Qualcomm1

Top Industries Hiring
- Aerospace & Defense2
- Electronics & Hardware2
- Technology & Software2
- Consulting & Professional Services1
- Media & Entertainment1
What Colorado Employers Look For
The qualifications that appear most often in sr staff machine learning engineer jobs across Colorado.
- PhD or Master's degree in computer science, statistics, or a closely related field
- 8 or more years of industry experience building and shipping production machine learning systems
- Deep expertise in distributed training frameworks such as PyTorch, TensorFlow, or JAX
- Experience designing and operating large-scale ML infrastructure including feature stores and model serving
- Demonstrated technical leadership across cross-functional teams including research, engineering, and product
- Proficiency in MLOps tooling including experiment tracking, model registries, and CI/CD pipelines for ML
Sr Staff Machine Learning Engineer Jobs in Colorado: Frequently Asked Questions
How many sr staff machine learning engineer jobs are there in Colorado?
There are 8+ sr staff machine learning engineer openings in Colorado on Migrate Mate as of June 2026, with the most roles in Boulder, Denver, and Golden. New positions post regularly as employers across Colorado hire.
How much do sr staff machine learning engineers make in Colorado?
Sr staff machine learning engineers in Colorado earn a median of about $138,390 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $96,480 for the lowest 10% to over $213,010 for the top 10%. Pay rises with experience, specialty, and employer.
Which Colorado cities have the most sr staff machine learning engineer jobs?
Boulder, Denver, and Golden have the most sr staff machine learning engineer openings in Colorado right now, with additional roles spread across smaller metros statewide.
Which companies hire sr staff machine learning engineers in Colorado?
Employers hiring sr staff machine learning engineers in Colorado include CRUSOE, Lunar Outpost, and Cisco, based on current listings on Migrate Mate as of June 2026.
Are there remote sr staff machine learning engineer jobs in Colorado?
Yes. About 0% of sr staff machine learning engineer openings tied to Colorado are remote or hybrid as of June 2026. The rest are on-site roles based in Colorado metros.
How do I apply for sr staff machine learning engineer jobs in Colorado?
You can apply to sr staff machine learning engineer jobs in Colorado directly on Migrate Mate. Search the listings above, find roles that match your experience and preferred Colorado location, then apply to each one that fits.
See All 8 Sr Staff Machine Learning Engineer Jobs in Colorado
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