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Topology Optimization Jobs in Texas (NOW HIRING)

Senior Network Engineer

Austin, TX · On-site +1

$103K - $141K/yr

Senior Level Network Engineer We are looking for an experienced Senior Network Engineer to execute network assessment process, topology, and optimization. Job Summary: The Senior Network Engineer is ...

Senior Network Engineer

Austin, TX · On-site +1

$103K - $141K/yr

Senior Level Network Engineer We are looking for an experienced Senior Network Engineer to execute network assessment process, topology, and optimization. Job Summary: The Senior Network Engineer is ...

Zerto Architect

Dallas, TX · On-site

$62.25 - $82/hr

Define VPG topology, journal sizing, retention, and bandwidth policies. * Create DR protection ... Coordinate with Zerto/HPE vendors for licensing, sizing, and optimization. Required Skills: * 12 ...

... optimization of enterprise OpenShift environments supporting Oncor's Platform-as-a-Service ... Control plane and worker node design Cluster topology and sizing VM/compute resource requirements ...

Topology-aware scheduling for GPU fabrics - Model the physical fabric in topology.conf - topology/tree for rail-optimized InfiniBand/RoCE designs and topology/block for NVLink domains such as GB200 ...

K8 Site Reliability SME

Austin, TX · On-site +1

$180K - $260K/yr

Production Kubernetes clusters optimized for GPU workloads at scale (100-10,000 GPUs). * Nvidia GPU operator, device plugin, MIG configuration, and GPU time-slicing policies. * Topology-aware ...

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Topology Optimization information

See Texas salary details

$14.9K

$52K

$95K

How much do topology optimization jobs pay per year?

As of Aug 27, 2026, the average yearly pay for topology optimization in Texas is $51,981.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $67,500.00 per year, depending on experience, location, and employer.

What is topology optimization?

A Topology Optimization job involves using computational design methods to create efficient and lightweight structures by optimizing material distribution within a given design space. Professionals in this field use algorithms, simulations, and software tools like ANSYS, Abaqus, or Altair OptiStruct to enhance product performance while reducing weight and material usage. These roles are common in aerospace, automotive, and manufacturing industries, where optimized designs can improve efficiency and sustainability. Candidates typically have expertise in structural mechanics, finite element analysis (FEA), and computer-aided design (CAD).

What are the typical daily responsibilities of someone working in topology optimization?

Professionals in topology optimization typically spend their days developing and refining computational models, running simulations to improve structural efficiency, and analyzing results to inform design decisions. They frequently collaborate with product designers, manufacturing engineers, and other specialists to ensure optimized designs are practical and meet project requirements. Routine tasks can also include preparing technical reports, presenting findings to stakeholders, and integrating optimization results into the broader engineering workflow. This dynamic role requires a blend of technical expertise, problem-solving skills, and effective teamwork.

What are the key skills and qualifications needed to thrive in topology optimization, and why are they important?

To thrive in Topology Optimization, a strong background in mechanical or structural engineering, mathematical modeling, and computational methods is typically required, often supported by an advanced degree. Familiarity with specialized software such as ANSYS, Abaqus, SolidWorks, and optimization tools like MATLAB or Altair OptiStruct is essential. Analytical thinking, effective communication, and the ability to work collaboratively with multidisciplinary teams are key soft skills for this role. These competencies enable professionals to create innovative, efficient designs that meet complex engineering requirements while effectively integrating feedback from various stakeholders.

What are the most commonly searched types of Topology Optimization jobs in Texas?

The most popular types of Topology Optimization jobs in Texas are:

What are popular job titles related to Topology Optimization jobs in Texas?

For Topology Optimization jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Topology Optimization jobs in Texas look for?

The top searched job categories for Topology Optimization jobs in Texas are:

What cities in Texas are hiring for Topology Optimization jobs?

Cities in Texas with the most Topology Optimization job openings:

Infographic showing various Topology Optimization job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $51,981 per year, or $25 per hour.

Principal Engineer, Power Density

Enphase Energy

Austin, TX • On-site

Full-time

Re-posted 3 days ago


Enphase Energy rating

6.6

Company rating: 6.6 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

131st of 159 rated electronics manufacturers


Job description

Enphase Energy is a global energy technology company and a leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, our innovative microinverter technology revolutionized solar power, making it a safer, more reliable, and scalable energy source. Today, the Enphase Energy System enables users to make, use, save, and sell their own power. Enphase is also one of the most successful and innovative clean energy companies in the world, with more than 80 million products shipped across 160 countries.

Join our dynamic teams designing and developing next-gen energy technologies and help drive a sustainable future!

About the Role

The Enphase Energy SST Product Innovation Team sits in the Office of the CTO and is responsible for defining, prototyping, and scaling the next generation of Enphase storage and power systems. We are a fast-moving, multi-disciplinary group on a mission to push the boundaries of energy density, reliability, and system efficiency.

This is a hands-on leadership role. You will attack every loss mechanism - conduction, switching, magnetic, capacitive, and thermal - and systematically eliminate them through technology innovation, topology optimization, and cross-functional integration. You will work side-by-side with mechanical and thermal engineers to translate efficiency gains into cooling reduction and footprint compression. If you have deep expertise in power inverters, know where every watt is lost, and know how to make the product smaller and more efficient - this role was built for you.

What You Will Do

  • Lead the power density rapid increase roadmap:Own the strategic and execution roadmap torapidly increase power density. Define the target metrics (W/in, W/in2, W/kg, efficiency vs. cooling), break down the improvement into loss-reduction initiatives, and drive cross-functional execution to hit the milestones.
  • Identify the easiest approach to solve power density packaging problems:Quickly assess complex power density and packaging challenges and identify the simplest, highest-impact solution. Distinguish between problems that require fundamental topology changes versus those solvable through packaging, cooling, or component selection. Guide the team to prioritize the path of least resistance that delivers the greatest density improvement.
  • Map and attack all power conversion loss mechanisms:Develop a comprehensive loss budget for the SST system: conduction losses, switching losses, magnetic losses (, capacitive losses, and control overhead. Prioritize loss mechanisms by impact and attack them systematically.
  • Integrate with mechanical and thermal teams for footprint reduction:Translate every efficiency gain into cooling system optimization. Collaborate with thermal engineers to reduce thermal resistance, lower coolant flow requirements, and eliminate heat sink mass. Work with mechanical engineers on compact packaging, integrated cooling channels, and structural optimization. Push the boundary where efficiency gains directly shrink the skid.
  • Define and enforce loss budgets:Establish component-level and system-level loss budgets. Allocate loss targets to each subsystem (inverter stage, transformer, filter, auxiliary) and enforce them through design reviews and validation testing.
  • Benchmark and track industry trends:Monitor state-of-the-art in industry. Identify technology gaps and opportunities. Ensure Enphase maintains or extends leadership in power density.
  • Mentor and grow the power density team:Build a culture of loss-awareness and power-density-first thinking. Mentor junior engineers on loss analysis, topology selection, and system integration. Create design guidelines and training materials.

Who You Are and What You Bring

  • BS, MS, or PhD in Electrical Engineering, Power Electronics, or closely related field
  • BS + 15 yrs | MS + 12 yrs | PhD + 8 yrs
  • Candidates with greater experience are strongly encouraged to apply
  • Deep knowledge of power converter topologies:Proven expertise in designing power converters across a range of power levels.Ability to select and optimize topology for specific voltage, power, and efficiency targets.
  • Comprehensive loss mechanism analysis:Mastery of conduction, switching, magnetic, capacitive, and thermal loss mechanisms. Ability to derive loss equations from first principles, build loss budgets, and prioritize improvement opportunities based on impact.
  • Power semiconductor device expertise:Deep understanding of state-of-the-art semiconductor device characteristics, loss models, and gate drive requirements. Experience selecting devices for high-frequency, high-voltage power conversion. Familiarity with device datasheets and how to extract accurate loss parameters.
  • Strong communication and leadership:Ability to articulate loss budgets, trade-offs, and roadmap priorities to technical teams and leadership. Comfortable driving cross-functional initiatives and holding teams accountable to meet targets.
  • Self-driven ownership:Ability to take full ownership of the power density roadmap and drive it to completion with high quality and on schedule.
  • Solution-oriented thinking:Focus on identifying and implementing practical solutions rather than just identifying problems. Ability to quickly assess complex power density challenges, generate multiple solution paths, and select the most effective approach based on constraints, timeline, and impact.

The base pay range for this position is $180,000 to $226,000. This salary range may be modified in the future. The successful candidate's starting pay will be determined based on job-related skills, experience, education or training, work location, and market conditions. This position is also eligible for bonus, equity, and benefits.

#SST

Employment Type: Full Time Employee (Experienced)

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