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Sdc Jobs in Texas (NOW HIRING)

E-Logic INC

Computer Support Specialist

Houston, TX · On-site

... SDC) · Information Systems Security Officer (ISSO) · IAO Express · AFNET Client Service Technician * Help desk: 1 year (Preferred) * Windows: 1 year (Preferred) * Fort Bliss, TX 79916: Reliably ...

DensityAI

RTL Engineer

Austin, TX

$215K - $300K/yr

Own block-level quality: synthesis, timing/constraints (SDC, STA), lint, and CDC signoff * Contribute to architecture definition and design reviews; debug across simulation, emulation, and post ...

Positron AI

Mid-End ASIC Engineer, Senior

Austin, TX · On-site

$190K - $280K/yr

Develop and maintain SDC constraints, clock definitions, false paths, multicycle paths, generated clocks, and MMMC environments. * Drive continuous improvement of synthesis QoR. Timing Closure ...

SWITS DIGITAL Private Limited

Lead RTL Engineer

Austin, TX · On-site

$101K - $133K/yr

Define and maintain SDC timing constraints. * Review all RTL code submissions for correctness, synthesizability, and coding standards. * Coordinate with outsourcing partners on GDSII handover ...

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Sdc information

See Texas salary details

$10

$28

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How much do sdc jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for sdc in Texas is $28.87, according to ZipRecruiter salary data. Most workers in this role earn between $20.62 and $36.30 per hour, depending on experience, location, and employer.

What is an SDC?

SDC stands for Software Development Consultant. SDCs are professionals who provide expert advice, guidance, and solutions in software development projects. They may assist organizations with software design, architecture, code review, process optimization, and technology selection. SDCs often work with teams to improve software quality, accelerate development timelines, and address technical challenges. Their role can vary by industry and project, but they are typically valued for their specialized expertise and ability to deliver results.

What are the key skills and qualifications needed to thrive as an SDC, and why are they important?

To thrive as a Software Development Consultant (SDC), you need deep expertise in software engineering principles, strong analytical skills, and a relevant degree in computer science or a related field. Familiarity with coding languages (such as Java, Python, or C#), version control systems like Git, and experience with cloud platforms or Agile methodologies are often required. Exceptional communication, problem-solving, and adaptability are crucial soft skills for collaborating with clients and cross-functional teams. These skills ensure effective delivery of technical solutions that meet client needs and drive project success.

What are some common challenges faced by SDCs when working with multiple clients simultaneously?

Software Development Consultants (SDCs) frequently juggle multiple projects and clients, each with unique expectations, communication styles, and technical requirements. A common challenge is balancing competing priorities and adapting quickly to shifting project scopes or deadlines. Effective SDCs develop strong organizational skills and proactive communication strategies to keep all stakeholders informed and ensure deliverables meet quality standards. Building rapport with diverse teams and mastering time management are essential for long-term success in this consulting role.

What is the difference between Sdc vs Data Analyst?

AspectSdcData Analyst
Required CredentialsTypically requires a degree in computer science, data management, or related fields; certifications like Microsoft Certified Data Analyst are commonUsually requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Certified Data Analyst are also common
Work EnvironmentOften works in data management, database administration, or data integration teamsWorks in data interpretation, reporting, and business insights teams
Employer & Industry UsageUsed in IT, data management, and enterprise environmentsUsed across various industries including finance, marketing, and healthcare

The main difference between Sdc and Data Analyst lies in their focus areas. Sdc typically handles data integration, management, and system configuration, while Data Analysts focus on analyzing data to generate insights. Both roles require strong technical skills and often share similar certifications, but their day-to-day tasks and work environments differ significantly.

What are popular job titles related to Sdc jobs in Texas?

For Sdc jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Sdc jobs in Texas look for?

The top searched job categories for Sdc jobs in Texas are:

Sdc jobs near you
Infographic showing various Sdc job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 4% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $60,047 per year, or $28.9 per hour.

Senior System Tests & Diagnostics Engineer

Graphcore

Austin, TX • On-site

$103K - $141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 15 days ago

Key responsibilities

  • Develop, extend, and integrate specialized silicon validation and diagnostics tools for next-generation AI SoCs.

  • Create system-level diagnostics and stress tools to detect hardware failures, characterize silicon behavior, and improve platform observability.

  • Collaborate with hardware architects, firmware engineers, validation engineers, and diagnostics teams to understand hardware capabilities and develop relevant diagnostic software.

Job description

About us
Graphcore is one of the world's leading innovators in Artificial Intelligence compute.
It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Responsibilities and Duties
We are seeking a highly skilled System Tests & Diagnostics Engineer to develop, extend, and integrate specialized silicon validation and diagnostics tools for next-generation AI SoCs.
Unlike traditional validation roles focused on executing test plans, this position is responsible for developing the diagnostic software and stress tools that expose hardware failures, characterize silicon behavior, and improve platform observability throughout bring-up and validation.
You will work closely with Arm engineers to understand and extend existing diagnostics technologies while developing Graphcore-specific capabilities for future AI hardware.
Role Summary
You will work with existing Arm-developed diagnostics technologies and extend them to support Graphcore's next-generation AI silicon.
You will be responsible for developing system-level diagnostics and stress tools that integrate with an existing framework to detect data integrity, computational correctness, performance, and reliability issues across CPUs, AI accelerators, memory, storage, PCIe, firmware, BMC, and other platform components. Examples include silent data corruption (SDC) tests, power transient stress tools, and platform diagnostics, with opportunities to develop new diagnostics as future hardware capabilities evolve.
This role requires close collaboration with hardware architects, firmware engineers, validation engineers, and diagnostics teams to understand new hardware capabilities and translate them into reusable diagnostic software.
Responsibilities
  • Learn and extend existing Arm diagnostics tools to support Graphcore's AI platform.
  • Develop specialized diagnostics and stress-testing software for CPU, memory, interconnect, PCIe, and other system components.
  • Build reusable validation utilities that integrate into the existing validation framework.
  • Develop tools that expose intermittent hardware failures including silent data corruption, timing-related issues, and hardware instability.
  • Design configurable diagnostic applications supporting multiple silicon revisions, platforms, and execution environments.
  • Develop automation for executing diagnostics across server and rack-scale validation environments.
  • Design configuration-driven diagnostics supporting scalable parameterization and workload variation.
  • Collaborate with hardware architects to understand new hardware capabilities and identify missing diagnostics.
  • Work closely with firmware and validation teams to improve hardware observability.
  • Debug low-level hardware, firmware, operating system, and driver interactions.
  • Analyze diagnostic output and improve fault isolation methodologies.
  • Develop software that enables engineers to reproduce and investigate difficult hardware failures.
  • Contribute reusable libraries and utilities that improve engineering productivity across multiple validation teams.
Candidate Profile
Essential
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline.
  • 6+ years of experience developing hardware diagnostics, system validation software, firmware validation tools, or low-level systems software.
  • Strong software development skills in Python and C/C++.
  • Strong Linux systems experience.
  • Strong understanding of modern server platform architecture, including how CPU, memory, PCIe, storage, networking, firmware, operating system, and device drivers interact within a complete system.
  • Experience debugging hardware/software interactions across multiple layers of the platform.
  • Experience developing diagnostics, stress testing, or hardware validation software.
  • Experience with server platforms, embedded systems, or SoC validation.
  • Strong analytical and debugging skills.
  • Experience collaborating across hardware, firmware, software, and validation teams.
  • Excellent communication and problem-solving skills.
Desirable:
  • Preferred Qualifications
    • Arm-based server platforms
    • AI accelerators or high-performance computing systems
    • Silent Data Corruption (SDC) testing
    • Hardware stress testing
    • Power transient analysis
    • Hardware fault injection methodologies
    • Firmware validation
    • Silicon bring-up
    • Performance characterization
    • Hardware telemetry and observability
    • BMC firmware or server management
    • RAS (Reliability, Availability, Serviceability) technologies
    • Validate across subsystems:
      • CPU scaling and cache behavior
      • Memory (DDR/HBM) bandwidth, latency, and NUMA effects
      • Interconnect contention under multi-core load
      • PCIe/I-O throughput, latency, and multi-device scenarios
      • High-speed I/O validation

    What Success Looks Like
    Successful candidates will:
    • Extend existing diagnostics technologies to support new Graphcore hardware.
    • Develop new diagnostics tools for emerging hardware capabilities.
    • Build reusable software components that integrate seamlessly with the existing validation framework.
    • Improve hardware observability and root-cause isolation.
    • Detect and characterize intermittent hardware failures that traditional validation techniques cannot expose.
    • Deliver configurable diagnostics that scale across multiple platforms and silicon revisions.
    • Work effectively across hardware, firmware, validation, and diagnostics teams to continuously improve platform quality.

Why Join Graphcore?
This role provides a unique opportunity to work at the intersection of hardware architecture, diagnostics, and software engineering while helping define how next-generation AI systems are validated.
Rather than maintaining an existing validation framework, you will develop the specialized diagnostics and stress tools that make that framework valuable. Your work will directly influence hardware quality, silicon bring-up, and long-term platform reliability for future AI infrastructure.
USA Benefits
In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP). We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

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