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Manager Ai Hardware Jobs (NOW HIRING)

Codvo.ai

$203K/yr

Strong experience with Edge AI hardware platforms (e.g., NVIDIA Jetson, Google Coral, Intel ... Knowledge of risk management processes (ISO 14971) and cybersecurity standards in healthcare. ...

Eridu AI

Senior Power Engineer

Saratoga, CA · On-site

$210K - $265K/yr

Experience designing power solutions for AI accelerators, GPUs, or high-performance ASICs. * Knowledge of thermal considerations and system-level power management. * Experience supporting hardware ...

Baidu USA

SoC System Hardware Architect

Sunnyvale, CA · On-site

$196K/yr

Do you want to be part of the AI revolution? Do you want to think out of the box, thriving on ... Work with the SoC design team & program management to develop costing estimates, power/area targets ...

Baidu USA

SoC System Hardware Architect

Sunnyvale, CA

$196K/yr

Do you want to be part of the AI revolution? Do you want to think out of the box, thriving on ... Work with the SoC design team & program management to develop costing estimates, power/area targets ...

Omi AI

Head of Taste

San Francisco, CA · On-site

$100K - $200K/yr

Omi is AI for your real life. * In the past 20 months, we've: * Grown to 300K software users * Hit ... Built the first Omi prototypes (hardware, mobile) * Raised $7M+ total * Managed teams across 3 ...

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All JobsManager Ai Hardware Jobs

Manager Ai Hardware information

See salary details

$76.5K

$157.5K

$196.5K

How much do manager ai hardware jobs pay per year?

As of Jun 15, 2026, the average yearly pay for manager ai hardware in the United States is $157,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,500.00 and $168,500.00 per year, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior AI engineers, research directors, or AI executives, often requiring advanced skills in machine learning, deep learning, and data science. These positions usually involve leadership, strategic planning, and extensive experience, and may include bonuses or stock options that contribute to the total compensation.

What engineers make $500,000?

Senior engineers in specialized fields such as software, hardware, or AI engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in technology companies or startups with significant growth potential.

Which 3 jobs will survive AI?

For a Manager in AI hardware, roles that involve complex problem-solving, strategic planning, and human interaction are likely to persist, such as AI hardware engineering, AI project management, and technical sales. These jobs require specialized knowledge, creativity, and interpersonal skills that are difficult for AI to fully replicate. Continuous learning and certification in emerging AI tools can also help maintain job relevance.

What jobs pay $2000 a day?

High-paying jobs that can pay around $2000 a day often include specialized roles such as senior AI hardware managers, executive-level positions, or consultants in technology and finance sectors. These roles typically require extensive experience, advanced skills, and often involve project management, consulting, or leadership responsibilities. Compensation varies based on industry, location, and individual expertise.

What is the difference between Manager Ai Hardware vs AI Hardware Engineer?

AspectManager Ai HardwareAI Hardware Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fields; leadership experienceBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fields; technical expertise in hardware design
Work EnvironmentTeam leadership, project management, cross-department collaborationDesign, develop, and test AI hardware components
Employer & Industry UsageTech companies, AI startups, hardware manufacturersSemiconductor firms, AI hardware startups, research labs

The main difference is that a Manager Ai Hardware oversees teams and projects related to AI hardware development, focusing on management and strategy. In contrast, an AI Hardware Engineer is primarily involved in the technical design and development of AI hardware components. Both roles require similar technical backgrounds, but their responsibilities and focus areas differ significantly.

More about Manager Ai Hardware jobs
What cities are hiring for Manager Ai Hardware jobs? Cities with the most Manager Ai Hardware job openings:
What are the most commonly searched types of Ai Hardware jobs? The most popular types of Ai Hardware jobs are:
What states have the most Manager Ai Hardware jobs? States with the most job openings for Manager Ai Hardware jobs include:
What job categories do people searching Manager Ai Hardware jobs look for? The top searched job categories for Manager Ai Hardware jobs are:
Manager Ai Hardware jobs near you
Infographic showing various Manager Ai Hardware job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $157,515 per year, or $75.7 per hour.

Technical Lead, Runtime Software/Hardware (Spatial AI Accelerator)

Persimmons

San Jose, CA • On-site

Full-time

Retirement, PTO

Posted 11 days ago

Job description

Who we are:
Persimmons is building the infrastructure that will power the next decade of AI. Founded in 2023 by veteran technologists from the worlds of semiconductors, AI systems, and software innovation, We're on a mission to enable smarter devices, more sustainable data centers, and entirely new applications the world hasn't imagined yet.
Why join us:
We're growing fast and looking for bold thinkers, builders, and curious problem-solvers who want to push the limits of AI hardware and software. If you're ready to join a world-class team and play a critical role in making a global impact - we want to talk to you.
Summary of Role:
Persimmons.ai seeks a multidisciplinary Technical Lead for runtime software/hardware and compiler integration, focused on our next-generation custom spatial AI accelerator. You will architect and guide the runtime system bridging compiler, host, driver, device firmware, and control hardware: enabling high-performance, robust, and scalable execution of modern AI workloads.
This is a hands-on and technical leadership role spanning system design, cross-stack engineering, technical mentorship, and collaboration with compiler, ML framework, and hardware teams.
What you'll do:
  • Architect, design, and implement the runtime stack for Persimmons' custom spatial accelerator, covering host drivers, device runtime, and hardware/firmware control loops.
  • Lead technical direction and decisions for runtime-hardware interface, device work and command queue infrastructure, and memory management.
  • Coordinate with compiler/backend, ML systems, and hardware architects to ensure seamless end-to-end ML model execution.
  • Define and co-design hardware support features essential to runtime: queueing structures, synchronization primitives, interrupt/event signaling, dispatching and orchestrating ML workloads on spatial execution fabric.
  • Drive performance analysis, development tools for tracing, bottleneck identification, and runtime-level optimizations for latency, throughput, and hardware utilization.
  • Build and mentor a cross-disciplinary engineering team focused on runtime and system validation-establishing best practices, technical standards, and robust software-hardware collaboration.
  • Champion efficient tooling, simulation/emulation environments, and test infrastructure for system validation and robust runtime dev/debug.

Requirements
*We do not expect candidates to meet all of the requirements listed below; strong candidates will demonstrate expertise in several key areas.*
  • Deep experience architecting runtime software, device firmware, hardware interfaces, or control systems for AI accelerators and/or high-performance SoCs.
  • Hands-on expertise developing drivers, resource managers, command/queue control, and dispatching and synchronization primitives (queues, barriers, event notifications) for custom hardware.
  • Strong understanding of C/C++ multi-threaded programming and concurrent system design, including experience developing and debugging software that leverages threads, synchronization primitives, and parallel runtime constructs to maximize hardware utilization and performance in latency- and throughput-sensitive environments.
  • Solid understanding of hardware-software co-design principles: memory hierarchies, DMA engines, interconnects, job scheduling, on-device synchronization.
  • Experience integrating kernel libraries into device runtime stacks-connecting optimized compute kernels (such as SIMD operations and common AI operator libraries) to runtime software through seamless invocation and well-defined APIs, efficient scheduling and memory/resource management.
  • Experience with modern large language model (LLM) inference servers and serving stacks (e.g., vLLM, TensorRT-LLM, Triton Inference Server, Hugging Face Text Generation Inference, Ray Serve), including their architecture, runtime scheduling, memory management, batching, streaming, and distributed deployment. Understanding of how runtime design, kernel integration, and hardware acceleration impact performance, scalability, and latency in LLM serving workloads.
  • Experience with system-level performance tuning, debugging complex hardware-software interactions, and building scalable test/validation infrastructure.
  • High level of understanding and 5+ years of experience with in C/C++; familiarity with hardware description languages (Verilog/VHDL/SystemVerilog), or firmware development is a strong plus.
  • Demonstrated fluency with modern AI tools and workflows (e.g., leveraging AI assistants for research, analysis, or productivity).
  • Drive for innovation-keeping up with new architectures, techniques, and runtime models in ML or spatial computing.

Benefits
  • Competitive salary and benefits package.
  • Flexible PTO
  • 401k

Please note: Our organization does not accept unsolicited candidate submissions from external recruiters or agencies. Any such submissions, regardless of form (including but not limited to email, direct messaging, or social media), shall be deemed voluntary and shall not create any express or implied obligation on the part of the organization to pay any fees, commissions, or other compensation. Direct contact of employees, officers, or board members regarding employment opportunities is strictly prohibited and will not receive a response.

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