ZipRecruiter

Log In

1

Data Compiler Jobs (NOW HIRING)

Lemurian Labs

Compiler Code Gen Engineer

... performance data to identify optimization opportunities and drive measurable improvements. • ... of compiler algorithms and data structures. • Experience with and genuine interest in low-level ...

Datapelago

Sr. Compiler Engineer

Mountain View, CA

$122K - $168K/yr

Senior Compiler Engineer Mountain View, CA About DataPelago: DataPelago is at the forefront of ... We are building an innovative data processing engine that is transforming how Apache Spark, Apache ...

Ericsson

Senior Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

... data-layout optimization • Quantization or mixed-precision lowering • Bare-metal or embedded runtime integration We are looking for strong compiler engineers who can learn new problem domains ...

Datapelago

Sr. Compiler Engineer

Mountain View, CA · On-site

$122K - $168K/yr

Senior Compiler Engineer Mountain View, CA About DataPelago: DataPelago is at the forefront of ... We are building an innovative data processing engine that is transforming how Apache Spark, Apache ...

Ericsson GmbH

Senior Compiler Engineer

Austin, TX · On-site

$140 - $190/hr

Tiling, loop transformations, or data-layout optimization * Quantization or mixed-precision lowering * Bare-metal or embedded runtime integration We are looking for strong compiler engineers who can ...

New

Neurophos Inc

Staff Compiler Engineer

Austin, TX · On-site

$250K - $315K/yr

About Neurophos The demand for new data centers and AI compute is rapidly outpacing the planet ... We are seeking a talented ML Compiler Engineer to join our engineering team and lead the ...

Ericsson Inc.

Senior Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

... data-layout optimization Quantization or mixed-precision lowering Bare-metal or embedded runtime integration We are looking for strong compiler engineers who can learn new problem domains quickly.

Nvidia Corporation

Senior Compiler Engineer - AI

Austin, TX · On-site

$121K - $160K/yr

... high-dimensional data analysis, along with strong foundations in compiler design and domain ... specific languages. This role is focused on building AI-driven compiler intelligence for production ...

DensityAI

Compiler Engineer -- MLIR

Mountain View, CA · On-site

DensityAI is a company focused on AI accelerators, and they are seeking a Compiler Engineer to own ... DensityAI is an infrastructure for data centers serving automotive, robotics, and industrial ...

Efficient Computer

Senior Compiler Engineer

San Jose, CA · On-site

$160K - $210K/yr

Our platform's unprecedented level of efficiency enables IoT devices to intelligently capture and curate first-party data to drive the next major computing revolution We are seeking a Senior Compiler ...

Persimmons

Compiler Engineer (Frontend)

San Jose, CA · On-site

... data centers, and entirely new applications the world hasn't imagined yet. Why join us: We're ... Design and build the compiler that converts AI models from popular ML frameworks into assembly code ...

Intel

Compiler Engineer

Santa Clara, CA · On-site

$128K - $181K/yr

... data structures. - 3+ years of LLVM compiler technology experience. - 2+ years of experience in open-source projects. Preferred Qualifications: - Master's degree in a related field. - 3+ years of ...

RooflineAI GmbH

$88K - $121K/yr

We are building the leading AI compiler team in Europe. Join our future-focused team to contribute ... Proven understanding of software engineering principles, data structures, design patterns, and ...

New

previous pagenext page

Showing results 21-40

All JobsData Compiler Jobs

Data Compiler information

See salary details

$10

$50

$94

How much do data compiler jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data compiler in the United States is $50.30, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $74.04 per hour, depending on experience, location, and employer.

What is a data compiler?

Data Compilers are professionals who collect, process, and organize large sets of data from various sources into structured formats for analysis or use by other departments. They ensure data accuracy, consistency, and reliability by verifying and cleaning the information before compiling it into databases, reports, or other systems. Data Compilers often use specialized software and tools to manage and manipulate data efficiently. Their work is vital for organizations that rely on accurate, well-organized data to make informed decisions and maintain effective operations.

What skills and qualifications are needed to be a data compiler?

To thrive as a Data Compiler, you need strong attention to detail, accuracy in data entry, and proficiency in basic data management, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, data entry systems, and sometimes database management tools is typically required. Effective organizational skills, time management, and the ability to work independently are valuable soft skills in this role. These skills are crucial to ensure reliable data collection and organization, enabling informed decision-making for businesses.

What challenges do data compilers face when ensuring data accuracy, and how are they addressed?

Data Compilers often encounter challenges related to data inconsistencies, missing values, and outdated information from multiple sources. To address these issues, they typically employ rigorous data validation techniques, use automated tools to identify anomalies, and regularly cross-verify data against trusted references. Collaboration with data analysts and IT staff is also common to maintain high data quality standards. Staying organized and detail-oriented is key to overcoming these challenges and ensuring data reliability.

What is the difference between Data Compiler vs Data Analyst?

AspectData CompilerData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require basic technical skillsBachelor's degree in data science, statistics, or related field
Work EnvironmentData entry and compilation in office or remote settingsData analysis, interpretation, and reporting in office or remote settings
Employer & Industry UsageUsed in industries needing data organization, such as retail, logistics, and administrationUsed across industries for insights, decision-making, and strategic planning

While Data Compilers focus on gathering and organizing raw data, Data Analysts interpret and analyze data to provide actionable insights. Both roles are essential in data management workflows but differ in scope and skill requirements.

More about Data Compiler jobs

What job categories do people searching Data Compiler jobs look for?

The top searched job categories for Data Compiler jobs are:

Data Compiler jobs near you
Infographic showing various Data Compiler job openings in the United States as of August 2026, with employment types broken down into 8% Internship, 76% Full Time, 8% Part Time, and 8% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $104,630 per year, or $50.3 per hour.

Compiler Optimization Engineer

Lemurian Labs

Santa Clara, CA • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 23 days ago

Job description

About the Role

We're looking for a Graph Optimization Compiler Engineer to own the middle tier of our AI compiler stack - the layer where high-level model graphs are transformed, simplified, and made ready for efficient code generation. You'll design and implement the optimization passes that make the difference between a model that runs and a model that flies.

This role sits between our compiler front end and code generation backend. You'll work on graph-level transformations - fusion, layout optimization, dead code elimination, constant folding, and more - with a direct line of sight to the performance outcomes your work produces. If you think in data flow graphs and optimization passes, and you want that thinking to power the next generation of AI infrastructure, we'd love to talk.

What You'll Do
  • Design, develop, and maintain the graph optimization layer of our heterogeneous AI compiler
  • Implement and extend graph-level transformation passes including operator fusion, layout propagation, dead code elimination, constant folding, and algebraic simplification
  • Define and evolve our intermediate representation (IR) to support new optimization opportunities as ML model architectures advance
  • Analyze performance data to identify optimization gaps and drive measurable improvements in throughput and latency
  • Collaborate with front end and code generation teams to ensure clean IR interfaces and well-structured optimization pipelines
  • Propose and prototype new optimization strategies in response to advances in model design and hardware capabilities
  • Contribute to testing and validation infrastructure to ensure optimization correctness across model types and hardware targets
RequirementsEssential Skills and Experience
  • BS degree in Computer Science, Computer Engineering, or equivalent practical experience
  • 4+ years of experience working with compilers, with a focus on intermediate representation design or optimization passes
  • Deep knowledge of graph-level compiler optimization techniques - fusion, tiling, layout transformations, and related methods
  • 4+ years of experience with C/C++
  • Strong written and verbal communication skills; ability to write clear and concise technical documentation
Preferred Skills and Experience
  • Master's or PhD in Computer Science, Computer Engineering, or equivalent
  • Experience with polyhedral models or affine analysis for loop and tensor optimization
  • Familiarity with hardware memory hierarchies and how layout decisions impact performance on GPUs or accelerators
  • Experience working with MLIR, XLA, or similar graph-level IR frameworks
  • Experience with ML framework internals - PyTorch eager/compile mode, JAX/XLA, or TensorRT
  • Strong understanding of ML model architectures and their computational patterns (attention, convolution, normalization, etc.)
  • Knowledge of quantization, sparsity, or other model-level optimization techniques
  • Contributions to open-source compiler or ML infrastructure projects
Why Join Lemurian Labs
  • Own a critical layer of our compiler stack where optimization decisions have direct, measurable impact on model performance
  • Work on the hardest graph-level problems in AI infrastructure - across diverse hardware targets and model architectures
  • Collaborate with a team that treats infrastructure as a canvas and optimization as a craft
  • Competitive compensation including equity, medical/dental/vision, retirement savings, and wellness benefits


Apply