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 ...
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 ...
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 ...
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 ...
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 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 ...
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 ...
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 ...
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 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 ...
Head of Product Management & Marketing
Austin, TX · On-site
$231K - $241K/yr
Zephyr, RTOS, TensorFlow Lite Micro/TVM, compilers/Kernels, model optimization/ML perf. * Familiarity with developer marketing, communities, and reference app pipelines Work Model & Travel * Austin ...
Head of Product Management & Marketing
Austin, TX · On-site
$231K - $241K/yr
Zephyr, RTOS, TensorFlow Lite Micro/TVM, compilers/Kernels, model optimization/ML perf. * Familiarity with developer marketing, communities, and reference app pipelines Work Model & Travel * Austin ...
Senior AI Software Engineer - Neuromorphic Computing
Austin, TX · On-site
$121K - $160K/yr
... TVM, MLIR, XLA. * 3+ years of experience architecting and implementing production-grade software systems for maintainability, using standard engineering practices (e.g. profiling, benchmarking ...
Senior AI Software Engineer - Neuromorphic Computing
Austin, TX · On-site
$121K - $160K/yr
... TVM, MLIR, XLA. * 3+ years of experience architecting and implementing production-grade software systems for maintainability, using standard engineering practices (e.g. profiling, benchmarking ...
Senior ML Compiler Engineer
$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 ...
Senior ML Compiler Engineer
$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 ...
Tvm information
See Texas salary details
$38.7K - $47.3K
1% of jobs
$47.3K - $55.9K
2% of jobs
$55.9K - $64.5K
5% of jobs
$64.5K - $73.1K
13% of jobs
$75.1K is the 25th percentile. Wages below this are outliers.
$73.1K - $81.6K
16% of jobs
$81.6K - $90.2K
10% of jobs
The median wage is $92.2K / yr.
$90.2K - $98.8K
14% of jobs
$98.8K - $107.4K
12% of jobs
$109.4K is the 75th percentile. Wages above this are outliers.
$107.4K - $116K
12% of jobs
$116K - $124.6K
10% of jobs
$124.6K - $133.2K
6% of jobs
$38.7K
$93K
$133.2K
How much do tvm jobs pay per year?
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.

Full-time
Re-posted 10 days ago
Job description
- 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
- 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
- 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
- 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