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Tvm Jobs in Texas (NOW HIRING)

Senior AI Software Architect - Runtime

Austin, TX · On-site

$128K - $174K/yr

... TVM. * 5+ years of experience leading software architecture for complex AI, runtime, or accelerator software systems, including defining technical direction and guiding implementation. * 8+ years of ...

Senior Deep Learning Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as PyTorch. * GPU kernel generation with high performance and fast build time. * A track record of ...

Senior ML Compiler Engineer

Austin, TX

$103K - $142K/yr

Experience with ML frameworks (e.g.,PyTorch, TensorFlow, JAX) and software stack (e.g.,ONNX,MLIR, XLA, TVM,TensorRT,etc) * Expertisein writing production quality Python/C++ code * Expertisein the ...

Showing results 21-28

Tvm information

See Texas salary details

$38.7K

$93K

$133.2K

How much do tvm jobs pay per year?

As of Aug 9, 2026, the average yearly pay for tvm in Texas is $93,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,100.00 and $111,800.00 per year, depending on experience, location, and employer.

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

To excel as a Ticket Vending Machine (TVM) Technician, you need a solid understanding of electronics, mechanical systems, and troubleshooting, typically supported by a diploma or certification in engineering technology or a related field. Familiarity with diagnostic tools, wiring diagrams, and proprietary ticketing software systems is often essential. Strong problem-solving skills, attention to detail, and effective communication make technicians more effective in resolving issues quickly and interacting with customers or team members. These abilities are vital for maintaining machine uptime, ensuring efficient customer service, and minimizing operational disruptions.

What are the typical daily responsibilities of a TVM technician?

As a TVM Technician, your day-to-day responsibilities include performing routine inspections and maintenance on ticket vending machines, troubleshooting and repairing mechanical or software faults, and ensuring the machines are stocked with tickets or paper. You may also work on upgrading software, calibrating sensors, and logging your work through maintenance management systems. Collaboration with customer service teams is common when addressing recurring user issues or during machine downtime, and technicians often respond to service calls both independently and alongside other technical staff. This role requires travel between multiple sites and hands-on work to keep stations running smoothly.

What is a TVM?

A TVM (Trusted Virtual Machine) job typically involves working with secure virtual environments to ensure data protection, system integrity, and safe execution of applications. Professionals in this role often manage virtualization security, threat detection, and compliance within cloud or enterprise environments. They may work with technologies like secure enclaves, virtual machine monitoring, and encryption to prevent unauthorized access. The role is commonly found in cybersecurity, cloud computing, and IT infrastructure teams.

What are the most commonly searched types of Tvm jobs in Texas? The most popular types of Tvm jobs in Texas are:
What are popular job titles related to Tvm jobs in Texas? For Tvm jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Tvm jobs in Texas look for? The top searched job categories for Tvm jobs in Texas are:
What cities in Texas are hiring for Tvm jobs? Cities in Texas with the most Tvm job openings:
Infographic showing various Tvm job openings in Texas as of August 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 78% Physical, 14% Hybrid, and 8% Remote job distribution, with an average salary of $93,047 per year, or $44.7 per hour.

Compiler Engineer - Machine Learning Compiler

Mythic

Austin, TX • On-site

Full-time

Re-posted 10 days ago


Job description

About us

Mythic is building the future of AI computing with breakthrough analog technology that delivers 100 the performance of traditional digital systems at the same power and cost. This unlocks bigger, more capable models and faster, more responsive applications-whether in edge devices like drones, robotics, and sensors, or in cloud and data center environments. Our technology powers everything from large language models and CNNs to advanced signal processing, and is engineered to operate from -40 C to +125 C, making it ideal for industrial, automotive, aerospace, and defense.
We've raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux Capital, and DCVC, and secured multi-million-dollar customer contracts across multiple markets.

About the role

Join us in building the next generation of AI compilers. You'll play a key role in developing the compiler for our novel AI accelerator, working side-by-side with hardware engineers and ML researchers. Your work will shape how deep learning workloads run on cutting-edge dataflow hardware-defining the instruction set, execution model, and developer experience. The result: a compiler that delivers breakthrough performance while remaining seamless and intuitive for ML developers.
Here's what you will do
  • Contribute across the full compiler stack, including operator lowering, graph/IR transformations, optimization passes, and backend code generation
  • Optimize for dataflow architectures, developing pipelined schedules, memory orchestration, and resource-constrained execution strategies
  • Collaborate with hardware architects to influence architectural features, ensuring the compiler and hardware evolve together
  • Develop compilation strategies that unify our analog compute with digital subsystems
  • Build and maintain a compiler that produces high-performance binaries with strong debugging support, clear error messages, and predictable performance models
Here's the background we hope you will have
  • 3+ years of experience building compilers or high-performance systems software, especially those involving complex resource management or optimization.
  • Expert in modern C++ (C++14/17/20) and strong Python.
  • Experience with compiler IRs (SSA-based or graph-based), transformations, and code generation
  • Exposure to specialized accelerators (GPU, NPU, FPGA, or custom ASIC) or parallel architectures
The following would be nice to have, but is not required
  • Experience with machine learning compiler stacks (e.g., ONNX, MLIR, TVM, XLA, IREE, PyTorch), with contributions to MLIR or LLVM projects a plus
  • Experience with optimization methods (LP/MIP, CP, SAT/SMT) using solvers like Gurobi or OR-Tools for scheduling and resource allocation
  • Experience compiling for specialized accelerators (GPU, NPU, FPGA, or custom ASIC) on DNN workloads; GPU/DSP experience is valuable if combined with compiler backend work beyond kernel tuning
  • Familiarity with heterogeneous compilation, especially mixing custom accelerators with CPUs/GPUs/NPUs, and exposure to analog or in-memory compute is a plus
  • Experience collaborating in compiler-hardware co-design (architecture + ISA) for better compiler usability and hardware efficiency
What we offer
  • The opportunity to shape how deep learning and LLM workloads are compiled on novel hardware.
  • A role that spans software and hardware co-design, shaping both the compiler and the accelerator architecture
  • A collaborative, innovative team that values engineering rigor, continuous integration, and user-focused design. We foster an environment of shared learning and technical excellence
  • Competitive compensation, equity, and benefits package
At Mythic, we foster a collaborative and respectful environment where people can do their best work. We hire smart, capable individuals, provide the tools and support they need, and trust them to deliver. Our team brings a wide range of experiences and perspectives, which we see as a strength in solving hard problems together. We value professionalism, creativity, and integrity, and strive to make Mythic a place where every employee feels they belong and can contribute meaningfully.
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