ZipRecruiter

Log In

1

Algorithmic Engineer Jobs in Texas (NOW HIRING)

Base Power Company

Algorithms Engineer

Austin, TX · On-site

We are engineers, operators, and creatives solving some of the most complex, interdisciplinary ... Proven experience deploying algorithmic control for physical systems. Track record of profitability ...

Retym

DSP Algorithm Engineer

Austin, TX · On-site

$141K - $165K/yr

As an Algorithm Engineer you will be part of the R&D group developing next generation coherent optical transceivers for DCI with data rates of 800Gbps and 1600Gbps. You will design, simulate, and ...

Retym

DSP Algorithm Engineer (System Level Testing)

Austin, TX · On-site

$141K - $165K/yr

Create novel stress tests, corner-case scenarios, and fault-injection methodologies to uncover algorithmic weaknesses. * Work closely with algorithm developers to define test requirements, acceptance ...

MICROVAST INC

BMS Algorithm Engineer

Houston, TX · On-site

BMS Algorithm Engineer Are you ready to be part of a company that's not just talking about the future, but energetically shaping it? Join the Microvast Team (NASDAQ: MVST), a technology innovator ...

next page

Showing results 1-20

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 Jul 21, 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 engineers make $500,000?

Senior-level algorithmic engineers, especially those working in finance, technology, or specialized research roles, can earn $500,000 or more annually, often including bonuses and stock options. Achieving this level typically requires extensive experience, advanced skills in algorithms and programming, and working at top-tier companies or in high-demand industries.

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.

Which 5 jobs will survive AI?

Algorithmic engineers are likely to continue thriving as AI advances because they develop and optimize algorithms that underpin AI systems. Jobs requiring complex problem-solving, creativity, and human judgment—such as data scientists, AI ethicists, cybersecurity specialists, healthcare professionals, and software developers—are also expected to persist due to their reliance on nuanced understanding and adaptability beyond automation. These roles often involve skills in programming, critical thinking, and domain expertise that are less easily replaced by AI.

What does an algorithm engineer do?

An algorithm engineer designs, develops, and optimizes algorithms to solve complex problems and improve system performance. They often work with data structures, programming languages, and tools like Python or C++, and may focus on areas such as machine learning, data analysis, or software development. Their role involves analyzing requirements, testing algorithms, and ensuring efficiency in real-world applications.

What engineers make 300,000 a year?

Senior engineers in fields such as software, data engineering, and machine learning can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working at large tech companies or in specialized roles. Compensation often includes base salary, bonuses, and stock options, and requires strong technical expertise and industry demand.
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 July 2026, with employment types broken down into 1% Internship, 2% As Needed, 76% Full Time, 11% Part Time, 1% Contract, and 9% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $104,002 per year, or $50 per hour.

Algorithms Engineer

Base Power Company

Austin, TX • On-site

Full-time

Re-posted 27 days ago

Job description

About Base
Base is America's next-generation power company. We're rebuilding the foundation of modern civilization-electricity-by deploying a vast network of distributed batteries that is transforming today's fragile, centralized grid into a resilient and abundant system. We are engineers, operators, and creatives solving some of the most complex, interdisciplinary challenges of our time.
About the Role
Algorithms engineering at Base is the heart of our distributed fleet control and coordination. The fleet aggregation and distribution loop is a sequential decision making problem; algorithms engineers will work to solve this problem in a variety of settings and fleet configurations. Algorithms engineers are first-class members of our trading desk, and become part of realtime desk rotation, gaining hands on perspective about how the fleet behaves under real world conditions.
What You'll Do
  • Build and develop algorithms for distributed battery fleet dispatch for realtime energy arbitrage and ancillary services in wholesale energy markets (e.g. ERCOT, etc).
  • Integrate wholesale energy market operations algorithms with grid-service control loops for voltage regulation and system peak shaving.
  • Participate in fleet scheduling as an on-call scheduling engineer.
  • Implement controls for first-of-its-kind concentrations of aggregated battery deployments at distribution system voltages.

What You'll Bring
  • Proven experience deploying algorithmic control for physical systems. Track record of profitability and scale in energy markets is a plus.
  • Deep understanding of any number of control or control-adjacent disciplines: e.g. model predictive control, reinforcement learning, Markov decision processes, signal processing.
  • A data-driven mindset and good communications skills; comfort working with modern tools (e.g., SQL, Grafana) to crystalize understanding of drive development work across the company (device efficiency, deployment configurations).

About this Team
The Markets team at Base is tasked with ensuring the grid-support performance and profitability of Base's distributed battery fleet. This encompasses device communications with balancing authorities, telemetry analysis, algorithms for fleet aggregation and economic dispatch, through to financial portfolio management in wholesale energy markets. Our team is made up of physicists, economists, computer scientists, and engineers; the best candidates will bring the day-over-day intensity of an operator with the foresight to drive the long term development of simpler, more performant automated control. Success looks like building the airplane as it falls out of the sky.
Please note: Base is a startup, which means priorities shift and evolve quickly. Your role may expand or change based on the needs of the business at any given time, so the responsibilities listed may not be exhaustive.
Our Values
  • First Principles Thinking: Question assumptions. Principles > rules.
  • Operate at Base Pace: Focus on what matters, act quickly, and learn by doing.
  • Give & Get Feedback: Be direct, be humble, and maintain a growth mindset.
  • Everyone's an Owner: Follow through on commitments and own results.
  • Strong Opinions, Loosely Held: Drive clarity and make calls with imperfect information.
  • Committed to the Mission: Rebuilding the grid is a big challenge. We work hard because we care deeply about the impact we're creating. We work in-person. It's not a 9-to-5. We are all-in.
  • Fun & Optimism Coexist with Grit: Collaboration and celebration coincide with the intensity of building real things.
Do the best work of your life at Base.

Apply