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Remote Machine Learning Compiler Engineer Jobs in Manchester, NH

The right candidate will bring in-depth logistics engineering knowledge and experience to help ... Machine Learning and Artificial Intelligence (ML/AI) * Familiar with Government Reference ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Python Tutor

Lawrence, MA · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

As an Applied Technologies Intern, you will work alongside engineers and scientists to support the ... Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or ...

Showing results 21-40

Remote Machine Learning Compiler Engineer information

See Manchester, NH salary details

$74.7K

$166.7K

$204.1K

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

As of Sep 10, 2026, the average yearly pay for remote machine learning compiler engineer in Manchester, NH is $166,713.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,400.00 and $204,100.00 per year, depending on experience, location, and employer.

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.

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 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 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 job categories do people searching Remote Machine Learning Compiler Engineer jobs in Manchester, NH look for?

The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Manchester, NH are:

Senior Principal Presales Systems Engineer, Cloud and AI Networking

Andover, MA • Remote

Hewlett Packard Enterprise Development LP
IT Services • 10K+ employees

$105K - $144K/yr

Full-time

Posted 9 days ago


Hewlett Packard Enterprise rating

8.7

Company rating: 8.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz


Job description

Senior Principal Presales Systems Engineer, Cloud and AI NetworkingThis 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:

Senior Principal Presales Systems Engineer, Cloud and AI Networking

About HPE Networking & The Role

HPE Networking simplifies networking through innovative, software-defined products and solutions for cloud, AI, and data center environments.HPE Networkingdevelopsindustry-leading technologies that are ever more software-defined, helping to answer the most challenging issues in connectivity. Digital transformation is everywhere, with technologies such as Multi-Cloud, Cybersecurity, Automation, IoT, AI, Machine Learning, and 5G driving the next waves of innovation.

Our Sales Engineering team empowers customers and partners to solve complex challenges with scalable, secure networking solutions.If you have over-the-top technical capability and curiosity; if you can influence both technical and business partners by translating business goals and challenges into technical solutions while differentiatingHPEfrom competing solutions; if your interpersonal and high-impact presentation skills evoke passion and confidence; if you're a born problem-solver that loves to get into the details and have a burning desire to answer the hard problems in a constantly evolving, results-oriented industry -HPE Networkingis the place for you!

We are seeking a Senior Distinguished Technologist to lead architecture and solution design for AI/MLNetworkingInfrastructure, Data Center, and WAN networking opportunities globally. This role requires deep technicalexpertise,experience,creative problem-solving, and strong customer engagement skills to influence and shape multi-billion-dollardeals.

WhatYou'llDo

  • Act as aprimary technicalarchitect early in complex sales cycles, working independently or with Sales Engineers to translate business needs into scalable technical solutions.

  • Architect end-to-end networking infrastructure solutions with strongexpertisein datacenter, AI networking, hyperscale environments, and WAN technologies.

  • Lead solution design and customization, orchestrating input from specialists, systems engineers, and product teams to meet customer requirements.

  • Deliver compelling demos, proof-of-concepts, and technical presentations that clearly articulateHPE Networking'svalue in customer use cases.

  • Engage withhyperscalers, large enterprises,service providersand technology partners to co-design solutions addressing emerging challenges across industries and workloads.

  • Influence technical strategy throughout deal validation, solutioning, and initial execution, ensuring smooth handoff to delivery teams.

  • Develop best practices, enablement collateral, and architecture playbooks to scale solutions internally and with partners.

  • Mentor and provide technical leadership to junior technologists and sales engineering teams.

  • Navigate and adapt through complex technology transitions,maintainingthought leadership in networking innovations and industry trends.

RoleRequirements

  • Bachelor's degree in engineeringor related fieldrequired, advanced degree preferred

  • 10+ years of technical experience in network infrastructureArchitecture,design and solutionsconsulting,designinglarge-scale AI, Cloud DataCenterinHyperscale networking environments.

  • 10+years ofindustryexperienceapplying technicalexpertisewithJunOS, EOS, IOS and hyperscale network architecture frameworks. JNCIE or equivalent certification.

  • Deep hands-onexpertisewithhyperscalerouting,MPLS traffic engineering,switching, SDN overlays (EVPN/VXLAN, MP-BGP),Network Fabrics and DCI solutions,networkprovisioning,automationand monitoring(Apstra, Paragon,NETCONF/REST APIs, YANG),and

  • Familiarity with major networking silicon,hardwareplatformsand related software(e.g., Juniper, Arista,Cisco,SONiC, Cumulusetc.)

  • SME inVirtualization technologies on x86 and scaling using technologies such DPDK, SR-IOV,SmartNICsetc.

  • Proven success in complex pre-sales roles, witha strongability to build relationships with senior technical andC-Levelstakeholders.

  • Experience with programming/scripting (Python, APIs,JSONetc.) to enable solution integration and automation.

  • Strong communication, presentation, and interpersonal skills with the ability to influence diverse technical and business audiences.

  • Demonstrated experience designing&developing playbooks, and deliveringdemonstrationsor livewalk throughs fora complex variety of networking products, solutions,toolsand services

  • Experience preparing RFP/Tender response documents like compliancetothe RFP, bill of materials, commercial/pricing, and solution documents to drive a successful response.

  • Willingness to travel up to 50%, including international travel on short notice.

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#networking

Job:

Sales

Job Level:

TCP_06The 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 221,000 - 429,000 in Massachusetts // 221,000 - 456,500 in California // 194,500 - 456,500 in Texas
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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