ZipRecruiter

Log In

1

Algorithmic Engineer Jobs in Texas (NOW HIRING)

Prattwhitney

Algorithm Principal Systems Engineer

Plano, TX · On-site

$107.50 - $204.50/hr

Algorithm Principal Systems Engineer - Plano, Texas Onsite, U.S. Citizens only (Top Secret security clearance required). Salary range: 107,500 USD - 204,500 USD. Responsibilities * Support algorithm ...

Raytheon

Senior Algorithm Systems Engineer

Plano, TX · On-site

$100K - $137K/yr

They are seeking a Senior Algorithm Systems Engineer to provide technical expertise and leadership across advanced aerospace sensor programs, focusing on algorithm development and performance ...

Orbotech

Software Engineer (AI/ML)

Austin, TX

Collaborate with algorithm engineers, software engineers, application engineers, and product teams to integrate AI capabilities into production systems. * Evaluate emerging AI technologies and ...

KLA Corporation

Software Engineer (AI/ML)

Austin, TX · On-site

Collaborate with algorithm engineers, software engineers, application engineers, and product teams to integrate AI capabilities into production systems. * Evaluate emerging AI technologies and ...

KLA-Belgium

Software Engineer (AI/ML)

Austin, TX · On-site

$98 - $166/hr

Collaborate with algorithm engineers, software engineers, application engineers, and product teams to integrate AI capabilities into production systems.Evaluate emerging AI technologies and develop ...

New

Raytheon

Senior Algorithm Systems Engineer

Plano, TX

$100K - $136K/yr

Raytheon is seeking a seeking a Senior Algorithm Systems Engineer to support advanced aerospace sensor programs. You will provide technical expertise and leadership across multiple programs and ...

previous pagenext page

Showing results 21-40

All JobsAlgorithmic Engineer JobsAlgorithmic Engineer Jobs in Texas

Algorithmic Engineer information

See Texas salary details

$55.4K

$104K

$189.1K

How much do algorithmic engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for algorithmic engineer in Texas is $104,002.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $123,400.00 per year, depending on experience, location, and employer.

What is the difference between Algorithmic Engineer vs Data Scientist?

AspectAlgorithmic EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related fields; programming skillsBachelor's or Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops algorithms for software, hardware, or embedded systems; often in tech or finance industriesAnalyzes data to extract insights; works in tech, finance, healthcare, and more
Employer & Industry UsageTech companies, finance firms, R&D departmentsTech companies, consulting firms, research institutions

While both roles require strong programming and analytical skills, Algorithmic Engineers focus on designing and implementing algorithms for systems and applications, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in tech environments but serve different primary functions.

What are popular job titles related to Algorithmic Engineer jobs in Texas? For Algorithmic Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Algorithmic Engineer jobs in Texas look for? The top searched job categories for Algorithmic Engineer jobs in Texas are:
Algorithmic Engineer jobs near you
Infographic showing various Algorithmic Engineer job openings in Texas as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $104,002 per year, or $50 per hour.

Algorithm Engineer, Autonomous Driving Validation

Bot Auto

Houston, TX • On-site

Full-time

Posted 16 days ago

Job description

Company Introduction
At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a startup and the wisdom of seasoned experts, our team has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create groundbreaking solutions that propel the future of transportation. Join us and transform your ideas into reality.
About The Role
You will be the engineer who keeps the autonomy stack healthy, fast, and trustworthy. This role spans code maintenance and platform quality, the validation and simulation pipeline that gates every release, and the triage-and-fix loop that turns reported road cases into resolved issues. If you take pride in a codebase that stays clean as it scales and a validation system that catches regressions before they reach the road, this is your role. The work is less about any single algorithm and more about the engineering backbone that lets the whole team move quickly without breaking things.
What You'll Do
  • Own and improve core autonomy code: refactoring, interface hygiene, build and runtime performance, and day-to-day maintenance to keep a fast-growing codebase maintainable.
  • Build and operate the validation and regression pipeline, including scenario suites, metric definitions, sim-vs-road consistency checks, and release-gating criteria.
  • Improve simulation infrastructure: determinism, version pinning, scenario tooling, and diffing that makes the cause of a regression obvious.
  • Run the triage loop: take cases reported from the road and from simulation, reproduce them, localize the root cause, and either fix them or route them to the right owner with a clear, actionable writeup.
  • Build the debugging and observability tooling (logging, replay, per-frame snapshotting) that makes failures fast to diagnose.
  • Partner with the algorithm engineers, the simulation team, and operations to keep the path from "case reported" to "fix verified" short and reliable.
Required Qualifications
  • B.S. in Computer Science or a related field, or equivalent practical experience.
  • Strong C++ and Python, with sound instincts for testing, code review, and keeping a large codebase healthy.
  • Experience building or operating CI/validation/test infrastructure for a complex software system.
  • Strong debugging skills - comfortable reproducing and root-causing issues across an unfamiliar, multi-component stack.
Preferred Qualifications
  • Experience with simulation, regression frameworks, or validation pipelines for robotics or autonomous systems.
  • Experience with data and logging infrastructure (large-scale log replay, observability, debugging tooling).
  • Familiarity with autonomy, robotics, or another real-time, safety-critical domain.
  • Experience defining metrics and quality gates that engineering and product teams rely on for release decisions.

Apply