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Director Compiler Engineer Jobs in New York (NOW HIRING)

Machine Learning Compiler

New York, NY · On-site

$140K - $211K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: As a leading ... Level of Responsibility: • Works under supervision. • Decision-making affects direct area of ...

Director Compiler Engineer information

What does a director compiler engineer do?

A Director Compiler Engineer leads teams responsible for designing, developing, and optimizing compiler technologies that translate high-level programming languages into machine code. They oversee the overall strategy, architecture, and performance of compiler products, ensuring they meet the needs of software developers and hardware platforms. In addition to managing projects and technical direction, they often collaborate with other engineering teams, mentor staff, and keep up with advances in programming languages and processor architectures.

What is the difference between Director Compiler Engineer vs Compiler Engineer?

AspectDirector Compiler EngineerCompiler Engineer
ResponsibilitiesOversees compiler development teams, sets strategic goals, manages project timelinesDesigns, develops, and tests compiler components and features
Required CredentialsBachelor's or Master's in Computer Science, extensive experience in compiler development, leadership skillsBachelor's or Master's in Computer Science, strong programming skills, experience with compiler tools
Work EnvironmentLeadership roles in tech companies, collaborative team settingsDevelopment teams, coding environments, research labs
Industry UsageCommon in large tech firms, software companies, and organizations with complex compiler needsUsed across software development, embedded systems, and research projects

The main difference is that a Director Compiler Engineer focuses on leadership, strategy, and team management, while a Compiler Engineer concentrates on technical development and coding tasks. Both roles require strong technical skills, but the director role involves overseeing projects and guiding teams.

What are some common challenges faced by a director compiler engineer, and how can they be addressed?

A Director Compiler Engineer often encounters challenges such as leading teams through complex technical problems, balancing project timelines with innovation, and ensuring cross-functional collaboration between hardware and software teams. Addressing these requires strong leadership, clear communication, and strategic planning to allocate resources efficiently. Additionally, staying up-to-date with evolving programming languages and hardware architectures is essential to guide the team and maintain competitive compiler performance.

What are the key skills and qualifications needed to thrive as a director compiler engineer?

To thrive as a Director Compiler Engineer, you need deep expertise in compiler theory, programming languages, and computer architecture, often supported by an advanced degree in computer science or a related field. Proficiency with compiler toolchains (like LLVM or GCC), performance analysis tools, and version control systems is typically required, along with familiarity with modern programming languages such as C++ or Rust. Strong leadership, strategic thinking, and excellent communication skills are essential for guiding teams and collaborating with stakeholders. These skills ensure the development of robust, high-performance compiler solutions that align with organizational goals and technology strategies.

How much does a director compiler engineer make?

A director compiler engineer typically earns between $150,000 and $200,000 annually, depending on experience, location, and company size. They often oversee teams of engineers, require strong programming skills, and may have advanced degrees in computer science or related fields.
What are the most commonly searched types of Compiler Engineer jobs in New York? The most popular types of Compiler Engineer jobs in New York are:
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Machine Learning Compiler

Qualcomm

New York, NY • On-site

$140K - $211K/yr

Full-time

Posted 7 days ago


Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

51st of 242 rated software companies


Job description

Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
Preferred Qualifications:
• Master's degree in Computer Science, Engineering, Information Systems, or related field.
• 1+ year of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
• 1+ year of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
• 1+ year of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++)
• 1+ year of experience using statistics and probability (e.g., conditional probability, Bayes rule).
• 1+ year of experience working in a large matrixed organization.
• 6+ months of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
Principal Duties and Responsibilities:
• Applies Machine Learning knowledge to assist in extending training or runtime frameworks or model efficiency software tools with new features and optimizations.
• Assists in the modeling, architecture, and development of machine learning hardware (co-designed with machine learning software) for inference or training solutions.
• Assists in the development of optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with team members for joint design and development.
• Assists with the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.
• Develops, adapts, or prototypes machine learning algorithms, models, or frameworks in alignment with product roadmap.
Level of Responsibility:
• Works under supervision.
• Decision-making affects direct area of work and/or work group.
• Requires verbal and written communication skills to convey basic, routine factual information.
• Tasks consist of a limited number of steps and can be referenced using directions or manuals.
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:
$140,800.00 - $211,200.00
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.

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About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985