2

Entry Level Computer Science Startup Jobs in Magnolia, TX

Senior AI Language Model Engineer

Houston, TX · On-site

$99K - $137K/yr

PhD in Engineering, Computer Science, Data Science, Artificial Intelligence, or a related field ... Experience working in fast-paced, startup-like, or R&D-heavy environments. Occidental does not ...

Senior AI Language Model Engineer

Houston, TX · On-site

$99K - $137K/yr

PhD in Engineering, Computer Science, Data Science, Artificial Intelligence, or a related field ... Experience working in fast-paced, startup-like, or R&D-heavy environments. Occidental does not ...

... Science, Computer and Information Science, Data Processing/Analytics/Science, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Master's degree (or higher) in Computer Science or a related field with strong programming ... Monthly performance-based incentives averaging 10-15% at entry level - your potential is limitless!

Master's degree (or higher) in Computer Science or a related field with strong programming ... Monthly performance-based incentives averaging 10-15% at entry level - your potential is limitless!

... scientists, electrochemists and metallurgists to design, build, test, and fly: space additive ... Experience with electrical computer-aided design (CAD) and COMSOL Multiphysics software (COMSOL)

Showing results 21-40

Entry Level Computer Science Startup information

See Magnolia, TX salary details

$25.2K

$85.8K

$206.7K

How much do entry level computer science startup jobs pay per year?

As of Aug 11, 2026, the average yearly pay for entry level computer science startup in Magnolia, TX is $85,817.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,300.00 and $90,700.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Computer Science Startup vs Entry Level Software Developer?

AspectEntry Level Computer Science StartupEntry Level Software Developer
Required CredentialsBachelor's in CS or related field, internshipsBachelor's in CS or related field, internships
Work EnvironmentFast-paced, innovative startup settingCorporate or startup, project-based
Employer & Industry UsageTech startups, early-stage companiesTech companies, software firms
Common Search & ComparisonYesYes

Entry Level Computer Science Startup roles typically involve working in dynamic, innovative environments with a focus on diverse projects, often requiring adaptability. Entry Level Software Developer positions are more structured, often within established companies, focusing on specific software development tasks. Both roles require similar educational backgrounds and skills, but the work setting and project scope differ.

Infographic showing various Entry Level Computer Science Startup job openings in Magnolia, TX as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 77% Full Time, 15% Part Time, 5% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $85,817 per year, or $41.3 per hour.

Algorithm Engineer, Autonomous Driving Validation

Bot Auto

Houston, TX • On-site

Full-time

Posted 14 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.