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Engineer Program Manager Jobs in Austin, TX (NOW HIRING)

iFlow Inc

Program Manager

Austin, TX · On-site

Program Manager Location : Austin,TX Duration: 6 Months Experience: 5-15 Years Description ... We are mainly looking for a ML Engineer who is experienced and ready to take on this role. The ...

Ultra Clean Technology

Materials Program Mgr II

Austin, TX · On-site

$110 - $140/hr

Works with engineering to identify preliminary critical parts, long-lead parts, and inspection ... Work closely with Supply Chain Program managers for localization or regionalization of OEM & BTP ...

New

Incedo

Program Manager

Austin, TX · On-site

Our uniqueness lies in bringing together strong engineering, data science, and design capabilities ... Our flexible career paths allow you to grow into a program manager, a technical architect or a ...

Apple

AIML Technical Program Manager

Austin, TX · On-site

$127K - $165K/yr

Apple's Retail Decision Automation team is looking for an exceptional and experienced AIML Engineering Program Manager who is passionate about delivering production-grade machine learning and ...

Wild West Systems Inc.

Technical Program Manager

Leander, TX · Hybrid

$123K - $159K/yr

Position Profile WWS is seeking a Technical Program Manager to serve as the primary integration point between engineering execution and program/contract delivery. This is a hybrid role for someone ...

Wild West Systems Inc.

Technical Program Manager

Leander, TX · On-site

$123K - $159K/yr

Position Profile WWS is seeking a Technical Program Manager to serve as the primary integration point between engineering execution and program/contract delivery. This is a hybrid role for someone ...

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All JobsEngineer Program JobsEngineer Program Manager JobsEngineer Program Manager Jobs in Austin, TX

Engineer Program Manager information

See Austin, TX salary details

$83.3K

$125.5K

$129.8K

How much do engineer program manager jobs pay per year?

As of Aug 20, 2026, the average yearly pay for engineer program manager in Austin, TX is $125,486.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,900.00 and $127,900.00 per year, depending on experience, location, and employer.

What is an engineer program manager?

An Engineer Program Manager (EPM) is a professional who oversees and coordinates engineering projects from conception through completion. They work closely with engineering teams, stakeholders, and other departments to ensure that technical projects are delivered on time, within budget, and meet quality standards. EPMs manage schedules, resolve issues, and facilitate communication between different teams to keep projects on track. Their role often blends technical expertise with project management skills, making them essential for successful engineering initiatives.

How does an engineer program manager typically collaborate with engineering and cross-functional teams during a project?

As an Engineer Program Manager, you will act as a bridge between engineering teams and other departments such as product management, quality assurance, and operations. You’ll facilitate clear communication, set project expectations, and help resolve roadblocks to keep projects on track. Regular meetings, progress updates, and documentation are common practices to ensure alignment and accountability. Your ability to balance technical understanding with project management skills is crucial in driving successful outcomes.

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

To thrive as an Engineer Program Manager, you need a solid engineering background, project management expertise, and typically a degree in engineering or a related field, often with PMP or similar certification. Familiarity with project management software like Microsoft Project, JIRA, or Asana, and technical documentation tools is essential. Outstanding leadership, communication, and problem-solving skills help drive cross-functional teams and manage stakeholder expectations. These abilities are crucial for delivering complex engineering projects on time, within budget, and to quality standards.

What is the difference between Engineer Program Manager vs Software Engineer?

AspectEngineer Program ManagerSoftware Engineer
Required CredentialsBachelor's in Engineering, Project Management certifications (e.g., PMP)Bachelor's in Computer Science or related field, coding skills
Work EnvironmentCross-functional teams, project planning, stakeholder communicationDesign, develop, test software applications
Employer & Industry UsageTech companies, hardware firms, product developmentSoftware companies, tech startups, IT departments

The main difference is that Engineer Program Managers focus on overseeing projects, coordinating teams, and ensuring timely delivery, while Software Engineers primarily develop and implement software solutions. Both roles often collaborate closely but serve distinct functions within tech organizations.

What cities near Austin, TX are hiring for Engineer Program Manager jobs?

Cities near Austin, TX with the most Engineer Program Manager job openings:

Engineer Program Manager jobs near you
Infographic showing various Engineer Program Manager job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $125,486 per year, or $60.3 per hour.

Program Manager

iFlow Inc

Austin, TX • On-site

Contractor

Re-posted 16 days ago

Job description

Job Title: Program Manager
Location: Austin,TX
Duration: 6 Months
Experience: 5-15  Years

Description:
We are mainly looking for a ML Engineer who is experienced and ready to take on this role. The candidate should have a strong background in ML and be capable of handling the tasks and responsibilities that come with the position.
ML Infrastructure & Performance Engineer
Focus: This role focuses on the "serving plane." The engineer will integrate high-speed inference runtimes with streaming loaders and take ownership of the performance benchmarking mandate.
Key Responsibilities:
Integrate SGLang with the Run:ai Model Streamer to enable concurrent tensor streaming directly to GPU memory, reducing model "cold start" times.
Optimize SGLang’s backend runtime, leveraging features like RadixAttention for prefix caching and compressed finite-state machines for faster decoding.
Design and execute rigorous performance benchmarking suites to identify bottlenecks in the inference stack and provide code-level "fixes" to improve time-to-first-token (TTFT).
Required Expertise:
Proficiency in Python and experience with asynchronous programming (AsyncIO) for ML serving frameworks.
Experience with Ray for distributed compute and managing Reinforcement Learning (RL) workloads.
Hands-on experience with profiling tools such as NVIDIA Nsight, PyTorch Profiler, or Intel Gaudi instrumentation.