Texas

Engineer Jobs in Texas

986 jobs found

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Today

Security Engineer

Apple Austin, TX

Austin, TX

Today

Full time Agentic Ai Security Ai Security Application Security

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Job Description

Help strengthen Apple Pay through hands-on security testing and rapid tooling improvements.

Responsibilities

Break down hardware, software, and services to uncover gaps others may miss
Apply AI to accelerate testing and iteratively improve security tooling
Build Skills, Agents, and workflows that make security testing sharper across payments, transit, access, and identity
Independently verify or refute findings instead of accepting results at face value
Challenge AI outputs, prove them wrong, and improve the approach rather than rubber-stamp results

Requirements

Know how to use tools to learn new areas, run experiments, and develop security issue discovery capabilities
Curiosity and interest in exploring unfamiliar technical domains
Ownership mindset and pride in improving the engineering environment
Threat modeling experience for hardware and/or software designs, including where attacks originate and what protections exist
Hands-on security testing experience, such as pentesting, negative testing, or equivalent
Skilled at security code reviews
Hands-on experience using agentic / LLM-based coding tools
Ability to build and refine Skills, Agents, and AI workflows, not only operate them
Ability to independently verify or refute a finding rather than accept it at face value
5+ years of experience in a security-focused role

Technologies

AI
LLM-based coding tools
Skills, Agents, AI workflows
Cryptographic algorithms (PQC, AES, SHA, etc.)

Preferred Qualifications

Superior problem solving and debugging skills
Understanding of cryptographic algorithms (PQC, AES, SHA, etc.)
Ability to clearly communicate across many teams, including explaining issues to developers
Ability to propose new designs and architectural improvements after testing
Experience shipping software or integrating security across every stage of the software lifecycle

Location: Austin, TX (onsite)
Minimum experience: 5 years

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Today

Senior Security Engineer

Apple Austin, TX

Austin, TX

Today

Full time Senior Agentic Ai Security Ai Security

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Job Description

Apple is looking for a Senior Security Engineer to strengthen the security posture of critical applications and infrastructure, with a focus on AI/ML systems and emerging technologies. In this onsite role in Austin, TX, you will help define security requirements early, run hands-on assessments across the AI stack, and partner with engineering teams to improve how risks are identified and addressed throughout the AI application development lifecycle.

What you’ll do

Research and identify emerging technologies, threats, and vulnerabilities to help define security requirements and controls before changes reach production.
Perform hands-on security assessments of AI applications and infrastructure, including ML pipelines and agentic systems, identifying vulnerabilities and security risks across the full AI/ML stack.
Build techniques, tooling, and automation that support and scale security assessments for AI applications and infrastructure.
Partner with engineering teams to create tools and procedures that support shifting security left in the AI development lifecycle, enabling earlier identification and remediation of risks.
Promote and evangelize assessment tools, security processes, and proven solutions across engineering teams to drive consistent adoption of security best practices for AI.

What you bring

Experience conducting security assessments of complex distributed systems, cloud-native applications, and large-scale infrastructure.
Experience developing security requirements, threat models, or risk assessments for new and emerging technologies.
Experience applying industry-leading security best practices to AI/ML solutions.
Working knowledge of AI/ML concepts including model training pipelines, inference services, vector databases, agentic systems, and LLM-based applications.
Understanding of common AI/ML security risks such as prompt injection, insecure tool use, data leakage, and supply chain vulnerabilities.
Strong verbal and written communication skills, including the ability to explain security risk to both technical and non-technical stakeholders.
BS in Computer Science, Computer Engineering, or Information Security, or 5+ years of equivalent hands-on experience.

Tech focus

AI/ML, ML pipelines, agentic systems, vector databases, LLM-based applications
Prompt injection, supply chain vulnerabilities
MCP (Model Context Protocol), A2A

Preferred qualifications

Experience defining and implementing security requirements and controls for AI infrastructure, tooling, applications, and services.
Experience developing security tooling or automation leveraging LLMs.
Experience securing AI agents and emerging agentic protocols such as MCP (Model Context Protocol) or A2A.
Experience with ML platforms and tooling.
Proven track record securing enterprise platforms, cloud-based solutions, or privacy-focused systems.

Location: Austin, TX (onsite)

Experience: 5+ years

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Today

Graphics Design Verification Engineer

Apple Austin, TX

Austin, TX

Today

Full time Design Design Verification E Verification

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Job Description

Apple’s GPU design effort depends on rigorous pre-silicon validation, especially for low power embedded graphics cores. As a Graphics Design Verification Engineer in Austin, TX (onsite), you’ll help ensure complex logic blocks meet functional goals by building, running, and refining verification across simulation and silicon.

What you’ll do

Own top-level verification for logic blocks within graphics processing unit (GPU) designs.
Execute test plan items and provide clear status updates.
Port and update legacy test bench components written in SystemVerilog and UVM, including checkers and monitors.
Create top-level tests to validate chip level features.
Enable, maintain, and troubleshoot regressions as designs evolve.
Modify and maintain test benches and BFMs (bus functional models).
Implement stimulus and analyze coverage to drive verification closure.
Debug both simulation and silicon GPU failures.
Collaborate closely with design and micro-architecture teams to understand functional objectives.
Develop scripts for software engineering flows to support verification workflows.

What you bring

BS required.
Experience with Object Oriented Programming languages.
Programming experience in C or C++.
Experience with Verilog or other HDLs.

Tools and technologies you’ll use

System Verilog, UVM, Verilog, HDLs, C, C++, Perl, Shell scripting, Makefiles, TCL, and verification/simulation and tooling such as IES, VCS, DVE, Verdi, plus Perforce.

Preferred qualifications

Knowledge of GPU architectures.
Understanding of CPU architectures.
Familiarity with verification language such as SystemVerilog/UVM/OVM.
Experience with HDL simulators and waveform viewers including IES, VCS, DVE, Verdi.
Understanding of constrained random verification, functional/code coverage, and assertion methodology.
Familiarity with Perl, Shell scripting, Makefiles, TCL.
Prior exposure to code repositories such as Perforce.
Ability to work well on a team with a strong focus on learning from others.

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Today

Graphics Design Verification Engineer

Apple Austin, TX

Austin, TX

Today

Full time Design Verification Hardware Engineer Hardware Verification

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Job Description

Graphics Design Verification Engineer role focusing on pre-silicon RTL verification for low power embedded graphics cores within Apple SoC/GPU design efforts.

Responsibilities

Own top-level verification for logic blocks in GPU designs
Write, run, and track progress against test plans
Build testbench components in SystemVerilog and UVM, including checkers and monitors
Create top-level tests to validate chip-level features
Enable, maintain, and support regressions
Write and maintain test benches and BFMs
Generate stimulus and implement/analyze coverage
Debug simulation and silicon GPU failures
Partner with design and micro-architecture teams to align on functional goals
Coordinate verification across DV scopes with multi-functional teams
Develop scripts for software engineering flows

Requirements

BS + 3 years of relevant experience
Knowledge of CPU or GPU architectures
Experience with Verilog or other HDLs
Verification language experience: SystemVerilog/UVM/OVM
Experience using HDL simulation tools and waveform viewers: IES, VCS, DVE, Verdi

Technologies

System Verilog
Universal Verification Methodology (UVM)
OVM
Verilog
IES
VCS
DVE
Verdi
Perl
Shell scripting
Makefiles
TCL
Perforce

Preferred Qualifications

Experience working with GPU architectures
Understanding of constrained random verification, functional/code coverage, and assertion methodology
Experience developing UVM testbench components, including checkers and monitors
Familiarity with Perl, Shell scripting, Makefiles, TCL
Exposure to code repositories such as Perforce
Ability to collaborate effectively with teams across verification efforts

Location: Austin, TX (onsite)

Employment type: Not specified

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Today

Graphics Design Verification Engineer

Apple Austin, TX

Austin, TX

Today

Full time Design Tools Design Verification GPU

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Job Description

The Graphics Design Verification Engineer will spearhead pre-silicon RTL verification for logic blocks inside low power embedded graphics cores as part of Apple’s GPU design efforts. This onsite role in Austin focuses on building and running UVM/SystemVerilog verification environments, coordinating execution and tracking, and resolving simulation and silicon issues.

Responsibilities

Lead top-level verification teams for logic blocks within graphics processing unit (GPU) designs.
Own the overall development, execution, and tracking of the team’s test plans.
Architect test bench methodology using Universal Verification Methodology (UVM) and SystemVerilog components.
Build verification stimulus, define coverage strategy, and develop regression plans.
Own and maintain test benches and bus functional models (BFMs).
Debug simulation and silicon GPU failures, including complex design and environmental issues.
Coordinate verification efforts through discussions with design and micro-architecture teams, and with other cross-functional teams.
Generate and present weekly status updates to the GPU leadership team.

Requirements

BS + 10 years of relevant experience.
Background in CPU or GPU architectures.
Experience working with Verilog or other HDLs.
Experience architecting test benches with SystemVerilog and UVM/OVM.
Experience with constrained random verification, functional and code coverage, and assertion methodology.
Experience debugging complex design and environmental issues.

Preferred Qualifications

Ability to manage multiple priorities under strict schedule deadlines.
Expertise in GPU architectures.
Experience with HDL simulators and waveform viewers including IES, VCS, DVE, and Verdi.
Experience with Perl, Shell scripting, Makefiles, and TCL.
Ability to work well on teams with experience collaborating across technical disciplines.

Required Education

Location and Work Mode

Austin, TX (onsite)

Skills and Tools

Universal Verification Methodology (UVM), System Verilog, Verilog, OVM
IES, VCS, DVE, Verdi
IES, VCS, DVE, Verdi (waveform viewing and simulation)
Perl, Shell scripting, Makefiles, TCL

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Today

Sr Application Security Engineer

TIAA Dallas, TX

Dallas, TX

Today

$102k - $122k/yr Full time Senior Ai Security Application Security

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Job Description

Join a team building security into how software is delivered at TIAA. This on-site Senior Application Security Engineer role in Dallas, TX focuses on practical application security automation, CI/CD integration, and tool administration, with a strong emphasis on partnering with developers and communicating technical risk clearly to engineers, product owners, and leadership.

The role supports scanning and audit-ready documentation, helps shape the AppSec roadmap through threat modeling and security finding standards, and advances secure AI-assisted development with guardrails and human review.

What you’ll do

Help set the application security strategy through threat modeling, zero-day response considerations, and quality standards for security findings aligned to the evolving threat landscape.
Build and integrate security controls into CI/CD pipelines, including automation that supports microservices, APIs, and developer-friendly workflows.
Support AI-assisted development and AI-enabled applications, using guardrails and human review for triage, enrichment, and remediation.
Research and run proof-of-concept evaluations for security tools, benchmarking accuracy, coverage, and developer experience to keep the program effective and cost-efficient.
Act as a trusted advisor to development teams by partnering on priorities and helping teams fix findings without slowing delivery.
Host office hours, coach teams on secure coding, and collect developer feedback to improve tools and processes.
Explain technical risk in clear, plain terms for developers, product owners, and leadership.
Keep the program healthy through application onboarding, ad hoc scanning, tool administration, SLA-based reporting, and audit-ready documentation.

Qualifications

3+ years of experience in application security, security engineering, or software engineering with a security focus.
3+ years with AppSec tooling including SAST, SCA, DAST/IAST, or secrets detection.
3+ years with Java and/or Spring Boot, building microservices and/or REST APIs.
2+ years integrating security tools into CI/CD pipelines.
Experience with scripting and/or automation (Python, Bash, or similar).

Education: University (Degree) Preferred

Helpful experience

5+ years in application security or security engineering with a security focus.
Working knowledge of the OWASP Top 10 and secure coding practices.
Experience enabling developers through office hours, training, secure coding guidance, or champions programs.
Experience partnering directly with software developers to resolve security issues, including explaining risk, recommending practical fixes, and following through to closure.
Strong written and verbal communication across developers, product owners, and executives.
Ability to influence without authority, resolve competing priorities, and build consensus.
Experience collecting developer feedback to improve tools, processes, or documentation.
2+ years with penetration test findings, threat modeling, or zero-day and critical vulnerability response.
2+ years building or evaluating security tooling with proof-of-concept testing, including business cases.
Experience migrating or administering security platforms.
2+ years developing or interpreting security metrics and dashboards for technical and non-technical stakeholders.
Experience in cloud-native environments (APIs, containers, IaC, CI/CD) and with software supply chain security.
Experience in financial services or another regulated environment with audit and governance processes.
Experience reviewing AI-generated code, or securing AI coding assistants and agent/MCP integrations.
Experience building LLM-based security automation with guardrails, including judgment on validating AI output and protecting sensitive data.

Compensation and work details

Location: Dallas, TX (onsite)
Base pay range: $102,000/yr - $122,000/yr
Work experience: 3+ Years Required; 5+ Years Preferred
Career level: 7IC
Physical requirements: Sedentary Work

Anticipated posting end date: 2026-11-10

Benefits

Superior retirement program
Highly competitive health, wellness and work life offerings
Participation in an incentive program linked to performance (for example, annual discretionary incentive programs, non-annual sales incentive plans, or other non-annual incentive plans)

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Today

Sr Analytics Engineer, Retail Data Products

Apple Austin, TX

Austin, TX

Today

Full time Python Analytics Apache Airflow

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Job Description

Apple’s Retail Store Analytics team is looking for a Sr Analytics Engineer in Austin, TX to help build scalable dashboards and data products that support data-driven decisions across Retail Operations. In this role, you will connect data and AI to improve how store teams access insights, including AI-driven conversational data tools.

You will work closely with Product Management, Data Science, Engineering, and Operations to plan and deliver an extensive reporting roadmap. The focus is on creating decision support that is dynamic, intuitive, and usable by teams across Apple Retail.

What You’ll Do

Create tools that enable data-driven decision-making across Apple Retail Operations.
Partner cross-functionally to build and refine scalable dashboards and data products that delight users.
Develop a centralized hub of canonical dashboards and AI-driven conversational data tools for decision support.
Help shape the future direction of Retail Operations by integrating data and AI to delight customers and empower store employees.
Manage delivery of an extensive reporting roadmap as part of a team.

Core Qualifications

6+ years experience building analytics pipelines in a production development environment for modeling, analysis, and reporting.
6+ years coding in SQL or PySpark and Python.
6+ years building and maintaining dashboards in Tableau, PowerBI, or Looker with hundreds of users.
Ability to initiate, refine, and complete projects with minimal guidance.
Ability to think critically and collaborate cross-functionally to distill abstract requirements into clear data products for data engineering, data science, and analytics stakeholders.
Bachelor’s degree in a relevant field (Engineering, Data Science, Business) or equivalent experience.

Tools and Technologies

SQL, PySpark, Python
Tableau, PowerBI, Looker
Snowflake SQL, Airflow, dbt, Cube
LookML, Tableau viz extensions

Preferred Qualifications

Experience building analytics pipelines in production development environments, ideally with Snowflake SQL or PySpark, and tools like Airflow and dbt.
3+ years managing semantic layers in tools like Cube, dbt, Snowflake, or LookML.
3+ years developing reusable data visualization assets like Tableau viz extensions.
3+ years experience working with retail data.
Master’s degree in a relevant field (Engineering, Data Science, Business) or equivalent experience.