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Data Path Jobs (NOW HIRING)

Pivot3

Senior Software Engineer - Data Path

Spring, TX · On-site

$109K - $143K/yr

We are actively recruiting for a Data Path Software Engineer to join our Engineering team. This role will work with Product Management, Quality Engineering and Software Engineering to advance our ...

Pivot3

Senior Software Engineer - Data Path

Louisville, CO · On-site

$128K - $168K/yr

We are actively recruiting for a Data Path Software Engineer to join our Engineering team. This role will work with Product Management, Quality Engineering and Software Engineering to advance our ...

DDN

Senior Staff Engineer - AI Data Path

California, MO · On-site

$180 - $250/hr

DDN is seeking a highly experienced Senior Staff Engineer specializing in AI Data Path & Storage to lead hands-on development and integration of advanced storage systems with next-generation AI ...

Ddn

Senior Staff Engineer - AI Data Path

Sacramento, CA · On-site

$180 - $240/hr

DDN is seeking a highly experienced Senior Staff Engineer specializing in AI Data Path & Storage to lead hands-on development and integration of advanced storage systems with next-generation AI ...

Data Direct Networks

Sr Staff Engineer

California, MO · On-site

$180 - $260/hr

Key Responsibilities Design, implement, and optimize core data path components in large-scale, distributed systems. Contribute to system architecture decisions affecting performance, throughput ...

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Data Path information

What is a data path?

A Data Path is a critical component within a computer's processor that handles the flow and processing of data. It typically consists of elements like registers, arithmetic logic units (ALUs), and buses, which work together to execute instructions and move data within the CPU. Data Paths are designed to perform operations such as addition, subtraction, and data transfer efficiently, impacting the overall speed and capability of a processor. Understanding Data Paths is essential for those involved in computer architecture and hardware design.

What are the key skills and qualifications needed to thrive as a data path engineer?

To thrive as a Data Path Engineer, you need a solid background in computer engineering, digital design, and experience with hardware description languages like Verilog or VHDL, typically supported by a relevant engineering degree. Familiarity with simulation tools (e.g., ModelSim, Synopsys), FPGA/ASIC design flows, and version control systems is essential. Strong analytical thinking, problem-solving abilities, and effective collaboration skills help you excel in cross-functional engineering teams. These skills and qualities ensure accurate, efficient data path designs that meet performance requirements within complex hardware systems.

What are some common challenges faced in a data path engineering role, and how can applicants prepare for them?

Data Path engineers often encounter challenges related to optimizing data throughput, minimizing latency, and ensuring data integrity across complex hardware and software systems. Applicants should be prepared to troubleshoot performance bottlenecks, work closely with cross-functional teams like software, hardware, and network engineers, and stay updated on evolving protocols and standards. Developing strong problem-solving skills, familiarity with hardware description languages, and experience with system-level debugging tools can help you tackle these challenges effectively.

What is the difference between Data Path vs Data Analyst?

AspectData PathData Analyst
Required CredentialsTypically a degree in data science, computer science, or related fieldsUsually a degree in statistics, mathematics, or related areas
Work EnvironmentData engineering teams, IT departments, or data infrastructure rolesBusiness units, marketing, finance, or operations teams
Industry UsageUsed in organizations focusing on data infrastructure and pipelinesCommon in business analysis, reporting, and decision-making roles

Data Path professionals focus on building and maintaining data infrastructure, while Data Analysts interpret data to support business decisions. Both roles require strong technical skills but serve different functions within data management and analysis.

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

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Data Path jobs near you
Infographic showing various Data Path job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior AI Data Path & Storage Architect (California)

Data Direct Networks

California, MO • On-site

$60.25 - $80.50/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Direct Networks (DDN) is seeking a Senior Staff Engineer specializing in AI Data Path & Storage to lead hands-on development of high-performance storage for real-time AI inference. You will design data movement across GPU, memory, and storage layers using NVIDIA technologies.

You will mentor engineers, optimize NVMe, RDMA, GPUDirect Storage, and KV caches, and partner with AI/ML teams to deliver scalable, low-latency inference systems.

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