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Remote Machine Learning Compiler Engineer Jobs in Sacramento, CA

Electrical Engineer

Roseville, CA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0241862 Location: Roseville,CA,US Share job via: Share Electrical ... Experience conducting basic and applied research and learning new technologies * Experience with ...

Virtual Teacher

Sacramento, CA · On-site +1

$44K/yr

Health Science, Engineering, Criminal Justice, Chinese ***Imagine Learning is accepting ... As a remote-friendly company, Imagine Learning offers flexible work arrangements across the U.S ...

Virtual Teacher

Sacramento, CA · On-site +1

$44K/yr

Health Science, Engineering, Criminal Justice, Chinese ***Imagine Learning is accepting ... As a remote-friendly company, Imagine Learning offers flexible work arrangements across the U.S ...

Virtual Teacher

Sacramento, CA · On-site +1

$44K/yr

Health Science, Engineering, Criminal Justice, Chinese ***Imagine Learning is accepting ... As a remote-friendly company, Imagine Learning offers flexible work arrangements across the U.S ...

Virtual Teacher

Sacramento, CA · On-site +1

$44K/yr

Health Science, Engineering, Criminal Justice, Chinese ***Imagine Learning is accepting ... As a remote-friendly company, Imagine Learning offers flexible work arrangements across the U.S ...

Virtual Teacher

Sacramento, CA · On-site +1

$44K/yr

Health Science, Engineering, Criminal Justice, Chinese ***Imagine Learning is accepting ... As a remote-friendly company, Imagine Learning offers flexible work arrangements across the U.S ...

Virtual Teacher

Sacramento, CA · On-site +1

$44K/yr

Health Science, Engineering, Criminal Justice, Chinese ***Imagine Learning is accepting ... As a remote-friendly company, Imagine Learning offers flexible work arrangements across the U.S ...

Virtual Teacher

Sacramento, CA · On-site +1

$44K/yr

Health Science, Engineering, Criminal Justice, Chinese ***Imagine Learning is accepting ... As a remote-friendly company, Imagine Learning offers flexible work arrangements across the U.S ...

Virtual Teacher

Sacramento, CA · On-site +1

$44K/yr

Health Science, Engineering, Criminal Justice, Chinese ***Imagine Learning is accepting ... As a remote-friendly company, Imagine Learning offers flexible work arrangements across the U.S ...

Virtual Teacher

Sacramento, CA · On-site +1

$44K/yr

Health Science, Engineering, Criminal Justice, Chinese ***Imagine Learning is accepting ... As a remote-friendly company, Imagine Learning offers flexible work arrangements across the U.S ...

Showing results 21-40

Remote Machine Learning Compiler Engineer information

See Sacramento, CA salary details

$80K

$178.5K

$218.6K

How much do remote machine learning compiler engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote machine learning compiler engineer in Sacramento, CA is $178,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $152,500.00 and $218,600.00 per year, depending on experience, location, and employer.

How does a remote machine learning compiler engineer typically collaborate with cross-functional teams to optimize model deployment?

As a Remote Machine Learning Compiler Engineer, you will frequently collaborate with data scientists, hardware engineers, and software developers to ensure that machine learning models are efficiently compiled and deployed on target platforms. Communication often takes place through virtual meetings, code reviews, and shared documentation tools. You'll be responsible for translating research models into optimized code, troubleshooting performance bottlenecks, and integrating feedback from various stakeholders. Effective teamwork is crucial, as the success of deployments often depends on iterative feedback and close alignment with both the ML research and hardware teams.

What is a remote machine learning compiler engineer?

A Remote Machine Learning Compiler Engineer is a software engineer who specializes in developing and optimizing compilers specifically for machine learning workloads, while working from a remote location. Their primary responsibilities include designing and implementing compiler features that translate machine learning models into efficient code for various hardware platforms, such as CPUs, GPUs, or specialized accelerators. They collaborate closely with machine learning researchers, hardware engineers, and software developers to ensure high performance and compatibility. In addition to strong programming skills, they typically require expertise in compiler theory, machine learning frameworks, and hardware architectures. This role allows for flexible, location-independent work while contributing to cutting-edge AI technologies.

What is the difference between Remote Machine Learning Compiler Engineer vs Remote Data Scientist?

AspectRemote Machine Learning Compiler EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Software Engineering, or related fields; knowledge of compiler design and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming, statistics, and data analysis
Work EnvironmentPrimarily software development, compiler optimization, and ML model deploymentData analysis, model building, and interpretation of results
Industry UsageTech companies, AI startups, hardware firms focusing on ML hardware accelerationTech, finance, healthcare, and research organizations

While both roles involve working with machine learning, the Remote Machine Learning Compiler Engineer focuses on developing and optimizing compilers for ML models, whereas the Remote Data Scientist concentrates on analyzing data and building predictive models. The roles share some technical skills but differ in their core responsibilities and work environments.

What are the key skills and qualifications needed to thrive as a remote machine learning compiler engineer, and why are they important?

To thrive as a Remote Machine Learning Compiler Engineer, you need a strong background in computer science, proficiency in programming languages like C++ and Python, and expertise in compiler theory and machine learning frameworks. Familiarity with ML compilers such as TVM or XLA, and experience using version control and CI/CD systems are commonly required, along with a relevant bachelor's or master's degree. Outstanding problem-solving, collaboration, and communication skills are essential for working effectively in distributed teams and across technical domains. These skills and qualities enable the development of efficient, scalable ML solutions that bridge software and hardware, ensuring high performance and innovation.
What are the most commonly searched types of Machine Learning Compiler Engineer jobs in Sacramento, CA? The most popular types of Machine Learning Compiler Engineer jobs in Sacramento, CA are:
What are popular job titles related to Remote Machine Learning Compiler Engineer jobs in Sacramento, CA? For Remote Machine Learning Compiler Engineer jobs in Sacramento, CA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Compiler Engineer jobs in Sacramento, CA look for? The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Sacramento, CA are:
What cities near Sacramento, CA are hiring for Remote Machine Learning Compiler Engineer jobs? Cities near Sacramento, CA with the most Remote Machine Learning Compiler Engineer job openings:
Infographic showing various Remote Machine Learning Compiler Engineer job openings in Sacramento, CA as of July 2026, with employment types broken down into 6% Locum Tenens, 6% As Needed, 82% Full Time, 4% Part Time, and 2% Contract. Highlights an 92% Physical, 4% Hybrid, and 4% Remote job distribution, with an average salary of $178,542 per year, or $85.8 per hour.

Pre-Sales Engineer, Cybersecurity

Hewlett Packard Enterprise

Sacramento, CA • On-site, Remote

Full-time

Posted 9 days ago


Hewlett Packard Enterprise rating

8.4

Company rating: 8.4 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

36th of 156 rated electronics manufacturers


Job description

Pre-Sales Engineer, CybersecurityThis role has been designated as 'Remote/Teleworker', which means you will primarily work from home.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

Cybersecurity Pre-Sales Engineer - SD-WAN & Secure Networking

In this customer-facing technical role, you will work closely with account managers, channel partners, and customers to design, position, and demonstrate secure networking solutions spanning secure SD-WAN, Security Service Edge (SSE), Zero Trust Network Access (ZTNA), and hybrid firewall architectures. You will help SLED organizations understand how integrated network and security platforms protect students, citizens, employees, applications, and data across distributed and hybrid environments.

This role is fully remote and can be done anywhere across the US.

What You'll Do

  • Lead technical discovery sessions to understand agency missions, district IT environments, compliance mandates, and security requirements.
  • Design scalable, vendor-agnostic secure networking architectures incorporating SD-WAN, SSE, identity-based access, and next-generation firewall technologies.
  • Deliver high-impact demonstrations, workshops, and proof-of-concepts covering SD-WAN, ZTNA, SWG, CASB, and Digital Experience Monitoring (DEM) use cases relevant to government and education environments.
  • Position integrated security and networking solutions that address challenges including multi-site connectivity (campuses, courthouses, branch offices), remote user access, and cloud application adoption.
  • Support sales pursuits by responding to RFPs, RFIs, and security questionnaires - including those structured around SLED procurement vehicles and compliance frameworks - with clear, technically accurate documentation and architecture diagrams.
  • Collaborate with account managers, channel partners, state and local resellers, and professional services teams to drive successful deal outcomes.
  • Present confidently to technical audiences and executive stakeholders including CIOs, CISOs, IT directors, and elected officials overseeing technology decisions.
  • Provide field feedback to product and engineering teams based on customer requirements and pain points.
  • Travel within the territory to support customer meetings, partner engagements, workshops, and public sector industry events such as NASCIO, GovTech, or regional education technology conferences.

Who You Are

  • 5+ years of experience in technical presales, sales engineering, or solution architecture within networking, security, or cloud domains
  • Hands-on experience with SASE, Zero Trust, SD-WAN, and cloud-delivered security architectures.
  • Strong understanding of security technologies including firewalls, IPsec, SSL-VPN, IDS/IPS, and traffic inspection.
  • Solid networking fundamentals: TCP/IP, DNS, TLS, HTTP/S, BGP, and OSPF.
  • Familiarity with identity and access management concepts including SSO, SAML, OAuth, OIDC, and role-based access control.
  • Working knowledge of public cloud platforms (AWS, Azure, and/or Google Cloud).
  • Excellent communication skills with the ability to translate complex technical concepts into clear mission and business value for non-technical government and education stakeholders.

Preferred Qualifications

  • Certifications such as CISSP, Security+, and/or relevant cloud certifications (AWS, Azure, GCP).
  • Familiarity with Zero Trust maturity models and how they map to public sector security mandates (e.g., CISA Zero Trust Strategy, EO 14028).

What We Offer

  • The opportunity to directly impact how government agencies and educational institutions protect their networks, students, and citizens.
  • Work at the intersection of one of the fastest-growing areas in networking - SASE and Zero Trust - applied to a mission-driven customer segment.
  • Competitive compensation, benefits, and flexible work arrangements.
  • Ongoing technical enablement, training, and career development opportunities.
  • A collaborative, inclusive culture that values innovation and continuous learning.

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates#cybersecurity, #sales

Job:

Sales

Job Level:

TCP_04"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 166,000 - 343,000 in California // 146,000 - 343,000 in Washington
This range reflects the minimum to maximum combined base and target-level sales compensation that would be paid if the hire performs at 100% of their sales plan. Of that on-target pay amount, the mix of base salary and target-level sales compensation is 75%/25%."

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual's own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.


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