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Optimization Engineer Jobs in Austin, TX (NOW HIRING)

VVater

Web Developer & SEO Specialist

Austin, TX · On-site

$93K - $93K/yr

VVater seeks a Web Development and SEO Specialist to manage and enhance our company's digital ... Programming & Coding for other applications and usages as required. * Other tasks or duties ...

VVater

Web Developer & SEO Specialist

Austin, TX

$93K - $93K/yr

VVater seeks a Web Development and SEO Specialist to manage and enhance our company's digital ... Programming & Coding for other applications and usages as required. * Other tasks or duties ...

VVater

Web Developer & SEO Specialist

Austin, TX · On-site

$93K - $93K/yr

VVater seeks a Web Development and SEO Specialist to manage and enhance our company's digital ... Programming & Coding for other applications and usages as required. * Other tasks or duties ...

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Showing results 41-60

All JobsOptimization Engineer JobsOptimization Engineer Jobs in Austin, TX

Optimization Engineer information

See Austin, TX salary details

$39

$58

$79

How much do optimization engineer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for optimization engineer in Austin, TX is $58.16, according to ZipRecruiter salary data. Most workers in this role earn between $42.21 and $71.73 per hour, depending on experience, location, and employer.

What is the difference between Optimization Engineer vs Data Analyst?

AspectOptimization EngineerData Analyst
Required CredentialsBachelor's in Engineering, Mathematics, or related field; often certifications in optimization or data analysisBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools
Work EnvironmentEngineering teams, manufacturing, logistics, or software developmentBusiness, finance, marketing, or healthcare sectors
Employer & Industry UsageManufacturing, tech, logistics, supply chainFinance, marketing, healthcare, consulting

Optimization Engineers focus on improving processes and systems through mathematical modeling and algorithms, often working in technical environments. Data Analysts interpret data to support business decisions, typically working with data visualization and reporting tools. While both roles analyze data, Optimization Engineers emphasize process optimization, whereas Data Analysts focus on insights and reporting.

What is an optimization engineer?

Optimization Engineers are professionals who analyze, design, and implement solutions to improve the efficiency, performance, and cost-effectiveness of systems, processes, or products. They use mathematical models, data analysis, and simulation tools to identify areas for improvement and develop strategies to achieve optimal results. These engineers work across various industries, including manufacturing, technology, energy, and logistics, to help organizations maximize output while minimizing resources and waste.

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

To thrive as an Optimization Engineer, you need a solid background in mathematics, data analysis, and engineering principles, often supported by a degree in engineering, mathematics, or a related field. Familiarity with optimization software (such as Gurobi, CPLEX, or MATLAB), programming languages like Python, and data modeling tools is typically required. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These skills and qualities are crucial for developing efficient solutions, collaborating with cross-functional teams, and driving continuous improvement in complex systems.

What does an Optimization Engineer do?

An Optimization Engineer analyzes and improves processes, systems, or algorithms to increase efficiency, performance, and cost-effectiveness. They often use data analysis, modeling, and tools like MATLAB or Python to identify areas for enhancement and implement solutions in engineering, manufacturing, or software environments.

How does an optimization engineer typically collaborate with other departments to implement solutions?

Optimization Engineers often work closely with cross-functional teams such as production, operations, and data analysis. They collaborate by gathering input on current processes, identifying bottlenecks, and proposing data-driven improvements. Regular meetings and clear communication are crucial to ensure that proposed optimizations are practical and align with business goals. By involving stakeholders from various departments, Optimization Engineers help facilitate smoother implementation and ensure that solutions are sustainable and well-integrated.

What is optimization engineering?

The job duties of an optimization engineer focus on taking an existing design and improving making it stronger, fast, more efficient, or more durable. Career qualifications for an optimization engineer include a bachelor’s or master’s degree in engineering and years of field experience through internships or similar positions. Strong analytical and research skills are important for this job, as well as a strong background in advanced mathematics.

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Optimization Engineer jobs near you
Infographic showing various Optimization Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $120,981 per year, or $58.2 per hour.

Senior Solutions Architect - Cost Optimization & AI

Virtasant

Austin, TX • On-site, Remote

Full-time

Re-posted 29 days ago

Job description

Senior Solutions Architect - Cost Optimization & AI
Location: Remote (North America)
Company: Virtasant
About Virtasant
Virtasant is a global technology services company with a network of over 4,000 technology professionals across 130+ countries.
We help organizations modernize applications, migrate to the cloud, optimize cloud spend, and adopt emerging technologies. Our work spans cloud architecture, software engineering, platform modernization, AI adoption, and cloud cost optimization.
Core Offerings
  • Cloud Migration - Modernizing and migrating complex systems to AWS, Azure, and GCP
  • Cloud Optimization - Reducing cloud spend through engineering, automation, and FinOps practices
  • AI-Enabled Transformation - Helping organizations adopt AI across engineering, operations, and business workflows
  • Product Development - Building and scaling cloud-native applications and platforms

We also develop and operate Helias, Virtasant's cloud cost optimization platform, which helps organizations understand, optimize, and govern cloud spend at scale.
The Role
We are looking for a Senior Solutions Architect who combines strong cloud architecture expertise, consulting experience, and an AI-first approach to problem solving.
This is a client-facing consulting role focused on helping enterprise customers modernize systems, optimize cloud environments, reduce cloud costs, and adopt AI in practical and measurable ways.
The most successful candidates are former software engineers who evolved into architecture and consulting roles and are equally comfortable discussing implementation details, architecture tradeoffs, business impact, and cloud economics.
What You'll Do
Client Advisory & Solution Design
  • Work directly with customer stakeholders to understand business and technical objectives
  • Design architectures across AWS, Azure, and GCP
  • Lead discovery workshops and architecture assessments
  • Translate complex technical challenges into practical roadmaps
  • Serve as a trusted advisor to engineering leaders and executives
Cost Optimization & Cloud Efficiency
  • Lead cloud cost optimization initiatives for enterprise customers
  • Identify architectural opportunities to improve efficiency and reduce spend
  • Design governance frameworks that sustain long-term savings
  • Help customers establish FinOps best practices
  • Leverage Helias and other optimization tools to drive measurable outcomes
AI-Enabled Transformation
  • Help customers adopt AI across engineering and operational workflows
  • Design solutions that incorporate AI-assisted automation and decision-making
  • Evaluate AI technologies, platforms, and tradeoffs
  • Guide customers on practical AI adoption strategies
Technical Leadership
  • Guide engineering teams through architecture decisions
  • Mentor engineers and architects
  • Ensure solutions are scalable, secure, and operationally sound
  • Provide technical leadership throughout modernization programs
What We're Looking For
Non-Negotiables
  • 8+ years of experience with AWS, Azure, or GCP
  • Professional services, consulting, or customer-facing architecture experience
  • Experience leading cloud modernization or migration initiatives
  • Strong understanding of cloud cost optimization principles
  • Production experience with Kubernetes
  • Strong communication and stakeholder management skills
  • Demonstrated use of AI in day-to-day engineering, architecture, or consulting workflows
  • Ability to operate effectively in ambiguous environments
Technical Experience
Cloud Architecture
  • Enterprise cloud architecture
  • Multi-account and multi-region environments
  • High-availability and scalable systems
  • Security and governance best practices

Software Engineering
  • Strong engineering background
  • Experience building or maintaining production systems
  • Python preferred
  • Experience discussing implementation tradeoffs with engineering teams

Cost Optimization
  • FinOps principles
  • Rightsizing
  • Savings Plans and Reserved Instances
  • Cloud governance
  • Architecture-driven cost reduction

AI
  • Practical experience using AI tools and workflows
  • Understanding of LLMs and enterprise AI adoption
  • Ability to evaluate AI technologies and tradeoffs
Consulting & Business Skills
Strong candidates will demonstrate:
  • Executive stakeholder engagement
  • Discovery and problem framing
  • Technical leadership
  • Architecture tradeoff analysis
  • Ability to connect technical decisions to business outcomes
  • Comfort working in fast-paced consulting environments
How We Work
Virtasant operates in a high-performance consulting environment.
The people who thrive here are:
  • Curious and proactive
  • Comfortable with ambiguity
  • Strong communicators
  • Hands-on technologists
  • Customer-focused problem solvers
  • Builders who enjoy solving difficult problems
Why Virtasant
At Virtasant, you will:
  • Work directly with global enterprise customers
  • Help organizations modernize and optimize cloud environments
  • Influence architecture decisions at scale
  • Work alongside elite engineers and architects across 130+ countries
  • Help shape the future of AI-enabled cloud consulting

Our team Optimization Locations Canada, USA, Latin America Remote status Fully Remote

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