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Algorithm Engineer Jobs in Montana (NOW HIRING)

Lead the algorithmic strategy, modeling, and architectural implementation of end-to-end signal ... BSc, MSc or Ph.D. in Electrical Engineering, Applied Mathematics, Physics, or a related ...

New

Controls Engineer

Butte, MT ยท On-site

$110K - $140K/yr

Formulate and deploy advanced custom control logic algorithms to elevate overall equipment ... Bachelors Degree or Masters Degree in Electrical Engineering or an equivalent discipline. * Proven ...

Controls Engineer

Butte, MT ยท On-site

$81K - $104K/yr

Custom control algorithm development and implementation * Experience with electronic systems at the circuit board level * Experience with programming embedded systems Why Is This a Great Opportunity ...

New

Solutions Engineer, Remote

Helena, MT ยท On-site

$120K - $140K/yr

Serve as a subject matter expert on Aperia's products, pilot data, and algorithm behavior to ... A degree in Engineering, Business administration or related field required. * 3+ years of ...

Controls Engineer

Butte, MT ยท On-site

$81K - $104K/yr

Experience developing and implementing custom control algorithms * Experience with electronic systems at the circuit board level * Embedded systems programming experience * Experience developing ...

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Showing results 1-20

Algorithm Engineer information

See Montana salary details

$54.6K

$102.5K

$186.3K

How much do algorithm engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for algorithm engineer in Montana is $102,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,900.00 and $121,600.00 per year, depending on experience, location, and employer.

What does an algorithm engineer do?

An Algorithm Engineer designs, develops, and optimizes algorithms to solve complex computational problems. They analyze data, improve system performance, and implement mathematical models for various applications, such as machine learning, computer vision, and optimization. This role requires proficiency in programming languages like Python or C++, strong mathematical skills, and an understanding of data structures and algorithms. Algorithm Engineers work closely with software developers, data scientists, and researchers to integrate efficient solutions into real-world systems.

What are the key skills and qualifications needed to thrive as an algorithm engineer?

To thrive as an Algorithm Engineer, you need a strong background in mathematics, computer science, and programming, usually demonstrated with a degree in these fields and experience in algorithm design and analysis. Familiarity with languages like Python, C++, or Java, and tools such as MATLAB or TensorFlow, as well as relevant certifications like those in data science or machine learning, are typically advantageous. Outstanding problem-solving abilities, analytical thinking, and effective communication are critical soft skills for success in this role. These competencies are crucial because they enable Algorithm Engineers to design efficient, innovative solutions and collaborate seamlessly with multidisciplinary teams.

What are the typical challenges an algorithm engineer faces in their day-to-day work?

Algorithm Engineers often encounter complex problems that require creative, efficient solutions within strict performance or resource constraints. They may need to optimize existing algorithms, develop new ones from scratch, and ensure seamless integration into larger software systems, often while balancing accuracy, speed, and scalability. Collaborating with other engineers, data scientists, and product teams to align technical efforts with business goals is also a regular part of the job. Staying updated with the latest advancements in algorithms and technology is essential, making continuous learning a key aspect of the role.

How much does an algorithm engineer make?

The average salary for an algorithm engineer varies by experience and location but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning or data analysis can earn higher salaries, especially in tech hubs. Compensation often includes benefits such as bonuses and stock options.

What are popular job titles related to Algorithm Engineer jobs in Montana?

For Algorithm Engineer jobs in Montana, the most frequently searched job titles are:

What job categories do people searching Algorithm Engineer jobs in Montana look for?

The top searched job categories for Algorithm Engineer jobs in Montana are:

Infographic showing various Algorithm Engineer job openings in Montana as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $102,461 per year, or $49.3 per hour.

Senior Staff Signal Processing Engineer

Bozeman, MT โ€ข On-site

Aurora
1 - 5K employees

$191K - $277K/yr

Other

Posted 2 days ago

New


Job description

Who We Are

Auroraโ€™s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.

Who We Are

Auroraโ€™s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.

The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.

At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn.

What We Are Looking For

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all.

Weโ€™re searching for a Senior Staff Signal Processing Engineer to help build the next generation of advanced lidar. This role seeks a subject matter expert to lead the development, testing and implementation of DSP algorithms, pipelines and development tools from simulation through to custom silicon, offering the opportunity to lead architectural strategy through close collaboration with photonics, R&D, and electrical engineering teams.

In this role you will
  • Architect Core DSP Pipelines: Lead the algorithmic strategy, modeling, and architectural implementation of end-to-end signal processing pipelines for next-generation coherent lidar systems.
  • Optimize for Hardware Execution: Translate high-level mathematical models into compute-optimized architectures, targeting modern embedded platforms (FPGAs/SIMD) and guiding the hardware specification for future custom silicon (ASIC).
  • Bridge Physics and Hardware: Partner closely with photonics, optical R&D, and electrical engineering teams to map physical optical properties and system noise dynamics into practical digital processing algorithms and system requirements.
  • Build Simulation & Tooling Environments: Develop scalable, first-principles simulation frameworks and prototyping tools to validate algorithms prior to silicon bring-up and evaluate key trade-offs between performance, power, and area.
  • Verification and Bring-Up: Drive the testing, verification, and performance tuning of DSP IP across simulation, hardware emulation targets, initial ASIC silicon bring-up, and real-world system testing.
Required Qualifications
  • Education & Experience: BSc, MSc or Ph.D. in Electrical Engineering, Applied Mathematics, Physics, or a related quantitative field, paired with 10+ years of relevant industry experience in advanced DSP design.
  • Advanced Mathematical & DSP Foundation: Expert-level mastery of foundational and advanced signal processing mathematics (e.g., spectral estimation, filtering, phase recovery, modulation/demodulation, detection theory and noise mitigation).
  • Relevant Cross-Industry Expertise: Proven track record applying advanced DSP principles within signal-dense domains such as modern radar systems, optical or RF telecommunications, or computational physics.
  • Embedded Hardware Targeting: Demonstrated experience mapping and optimizing high-throughput algorithms onto hardware architectures with tight latency, bandwidth, and compute constraints (FPGAs, SoC/SIMD vector engines, and/or ASICs).
  • High-Level Modeling Skills: Expert proficiency in Python, C/C++, or MATLAB for modeling, simulation, algorithmic verification, and data analysis.
Desirable Qualifications
  • High Speed Mixed Signal Integration: Familiarity with high-speed optical/RF front-ends, ADCs/DACs, and the associated digital impairment compensation techniques.
  • ASIC Transition Experience: Hands on experience taking complex DSP algorithms from FPGA/SIMD prototyping platforms to custom silicon (ASIC microarchitecture specification, fixed-point optimization, and silicon validation).
  • Physics-Based System Modeling: Experience building first-principles models of physical wave propagation, optical coherent detection, RF/optical channel dynamics, or sensor front-end hardware non-idealities.
  • Vector & SIMD Optimization: Background writing low-level, compute-optimized code for SIMD architectures, vector engines, or modern DSP hardware accelerators.

For roles based in Mountain View, CA: The salary range for this position is $212,000 - $307,000 per year.

For roles based in Louisville, CO or Bozeman, MT: The salary range for this position is $191,000 - $277,000 per year.

Auroraโ€™s pay ranges are determined by role, level, and location. Within the range, the successful candidateโ€™s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

Working at Aurora

At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together โ€” all without any jerks.

We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week.

Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom.

Our commitment to safety

At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organizationโ€™s long-term success by prioritizing working safely, no matter what.

Our commitment to inclusion

Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech.

For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Auroraโ€™s California Employment Privacy Policy.

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