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Ai Hardware Jobs (NOW HIRING)

Grow with us Principal AI Hardware Architect - Hardware/Software Co-Design The Architect Who Closes the Gap. The Engineer Who Makes Silicon Inevitable. Location: Austin, TX Team: Cross-functional ...

Applied AI Engineer, AI Hardware

Palo Alto, CA · On-site

$145.30K - $191.80K/yr

Tesla is at the forefront of revolutionizing artificial intelligence through cutting-edge hardware innovation. The Applied AI Engineer will design and develop AI-powered applications, automate EDA ...

NVIDIA is hiring an AI Hardware Architect to analyze andarchitectthe next generation of Artificial Intelligence hardware. We are looking for special individuals with a passion for delivering ...

NVIDIA is hiring an AI Hardware Architect to analyze andarchitectthe next generation of Artificial Intelligence hardware. We are looking for special individuals with a passion for delivering ...

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge's robust and scalable next-generation in-memory computing technology provides orders-of ...

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge's robust and scalable next-generation in-memory computing technology provides orders-of ...

$50 - $55/hr

Hardware Technical Writer (Part-time) Remote - US or Canada EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge's robust and scalable next ...

Why Flux Flux is taking the hard out of hardware, by developing the first AI Hardware Engineer. Our goal is to democratize the ability to create bleeding edge hardware, and revolutionize how ...

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Ai Hardware information

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$51K

$146.2K

$196.5K

How much do ai hardware jobs pay per year?

As of May 31, 2026, the average yearly pay for ai hardware in the United States is $146,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $163,000.00 per year, depending on experience, location, and employer.

What is an AI Hardware job?

An AI Hardware job involves designing, developing, and optimizing computer hardware specifically for artificial intelligence applications. Professionals in this field work on specialized processors, accelerators, and memory systems to improve AI performance and efficiency. They collaborate with software engineers to ensure seamless integration between hardware and AI algorithms. Typical roles include AI chip designers, hardware architects, and FPGA engineers.

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

To succeed in AI Hardware roles, you should have a solid background in electrical engineering, computer engineering, or a related field, along with experience in hardware design and verification. Familiarity with tools like Verilog/VHDL, FPGA/ASIC development environments, and hardware simulation software is typically expected, and certifications such as a Professional Engineer (PE) license or specialized hardware design credentials can be advantageous. Strong problem-solving abilities, teamwork, and effective communication are essential soft skills for collaborating on complex, multi-disciplinary projects. These qualifications allow professionals to innovate and build efficient AI-optimized hardware systems that meet both performance and industry standards.

What are the typical day-to-day responsibilities of someone working in an AI Hardware role?

Professionals in AI Hardware roles usually spend their days designing, developing, and testing specialized hardware components like processors, accelerators, and memory systems that support artificial intelligence workloads. Their work often involves collaborating closely with software engineers, data scientists, and system architects to optimize performance and ensure compatibility across platforms. They also participate in debugging, prototyping, and refining hardware based on simulation results, benchmarks, and real-world testing feedback. This combination of hands-on technical work and cross-functional collaboration creates a dynamic, results-oriented environment where innovation is highly valued.
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Principal AI Hardware Architect

Principal AI Hardware Architect

Ericsson

Austin, TX • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 13 days ago


Ericsson rating

9.3

Company rating: 9.3 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

2nd of 76 rated telecommunications companies


Job description

Grow with us
Principal AI Hardware Architect - Hardware/Software Co-Design
The Architect Who Closes the Gap. The Engineer Who Makes Silicon Inevitable.
Location: Austin, TX Team: Cross-functional leadership across Model Engineering, AI Infrastructure, and Silicon Architecture
The Problem Nobody Else Is Solving
Most chip programs are full of brilliant people who never quite speak the same language.
Researchers build ambitious AI models. Silicon teams build powerful hardware. Infrastructure teams wire it all together. And somewhere in the space between those three worlds - in the handoffs, the assumption gaps, the untranslated requirements - massive performance dies quietly on the floor.
We're not hiring someone to manage that problem. We're hiring the person who architects it out of existence.
The Role
As Principal AI Hardware Architect, you will own the most consequential technical contract in the company: the binding agreement between what AI workloads demand, what software systems can express, and what custom silicon can physically deliver.
This is not a support role. This is not a liaison role. This is the highest-leverage engineering seat in the building - the person who looks at a next-generation LLM, a multimodal inference pipeline, or a signal processing workload and answers the question that determines whether a chip program succeeds or settles:
"Here's exactly what this workload needs from silicon - and here's the proof it will work before we ever tape out."
Your decisions won't live in documents. They'll be etched into hardware. Your performance models will guide compute investments. Your architectural direction will shape memory hierarchies. Your cross-team alignment will determine whether the company builds capable hardware - or hardware nobody else can touch.
What You'll Own
Workload-to-Architecture Translation
You take real, modern AI workloads - LLMs, multimodal systems, signal processing pipelines, inference engines - and translate them into the concrete hardware requirements that actually matter: compute paths, memory movement, bandwidth ceilings, interconnect priorities, and the specialized acceleration capabilities that turn a good chip into the right chip.
Hardware/Software Co-Design Leadership
You are the bridge that doesn't bend. You connect model engineering, AI infrastructure, and silicon architecture teams so that every major hardware investment is both architecturally sound and software-accessible. When workload ambition outpaces hardware capability, you find the path forward. When silicon innovation creates a performance unlock, you make sure the software stack can actually reach it.
Performance Model Ownership
Before a single gate is placed, your analytical, simulation, and cycle-approximate performance models are already shaping the architecture. You build and own the projection systems that guide compute investments, memory hierarchy decisions, and feature prioritization - turning uncertainty into defensible, data-driven direction.
Real Workload Validation
You profile real workloads on real and future platforms. You find the bottlenecks - in memory, compute, scheduling, and architecture - and you feed those findings directly into the next hardware and software cycle. No guesswork. No assumptions. Just ground truth.
Strategic Technical Translation
You align people who think in different languages. Hardware architects, AI researchers, and infrastructure teams all operate with different mental models and different vocabularies. You translate across all of them - grounding every product decision in real workloads, measurable constraints, and practical execution paths.
Join our Team
What You Bring
AI/ML Systems Depth You understand modern AI architectures from the inside - inference systems, quantization strategies, deployment constraints, and how workload behavior actually manifests in silicon utilization. You don't just know what a Transformer does. You know what it costs.
Silicon Architecture Fluency You've worked with processor, accelerator, or custom silicon architectures. Compute pipelines, memory hierarchies, on-chip interconnects, performance tradeoff analysis - this is native territory for you, not background reading.
Required Qualifications
12+ years of industry experience across AI, systems, or silicon
Proven experience at the intersection of hardware and intelligent compute systems
Hardware/software co-design leadership across full product cycles
Demonstrated performance modeling expertise - analytical, simulation, or cycle-approximate
Track record of influencing architectural and product decisions across multiple technical organizations
Exceptional written communication and technical specification ability
Strong Python and C++ skills
Strongly Preferred
Experience with custom silicon, accelerators, or advanced hardware platforms
Prior involvement in ISA definition, memory hierarchy design, or accelerator roadmap decisions
Why This Seat Matters
Capable hardware gets built every year. Truly differentiated hardware - silicon that was purpose-built for the workloads that define an industry - is extraordinarily rare.
The difference between those two outcomes is usually one person: the architect who understood the workload deeply enough, the silicon clearly enough, and the software stack completely enough to hold the whole picture together.
That's the person we're building this role for.
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more.
If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.americas@ericsson.com.
DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned.
Primary country and city: USA || Austin, Texas
Job details: Developer
Primary Recruiter: Jim Everett
Compensation and Benefits at Ericsson
At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals.
Your Pay
The salary range for this position is dependent on various factors including, but not limited to, location, and the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience.
• LOCATION: Austin, Texas
Your Health
Ericsson offers excellent health benefits including the choice of three medical plan options and a dental plan option that allow an employee to select the level of coverage that suits their needs. Employees will receive company credits in an amount equal to the cost that Ericsson pays toward the cost of their medical and dental premiums for themselves and eligible covered dependents.
Your Financial Security
We invest in both your short and long-term financial wellbeing. The Ericsson US 401(k) Plan offers an automatic 3% company contribution and Ericsson match $1 for every $1 you put into the 401(k) Plan on the first 3% of your eligible pay, plus 50 cents on every $1 on the next 2% of eligible pay. When you contribute at least 5% of eligible pay, you are receiving Ericsson's full matching contributions of 4%. Matching and company automatic contributions stop when your total eligible pay for the year reaches the IRS limits. Employees will also receive company credits in an amount equal to the cost of basic life insurance and basic accidental death and dismemberment coverage, as well as short-term and long-term disability coverage. Employees also have the option to participate in Ericsson's Stock Purchase Plan.
Your Time
Your work-life balance is important to us. New employees are provided a minimum of 15 days of accrued vacation, up to 3 personal days per year, 11 annual holidays, 8 hours of volunteer time, and 80 hours of sick time annually. Please note paid time off is pro-rated based on the employee's start date. Furthermore, Ericsson provides up to 16 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay.
Additional Benefits
Ericsson offers many other company-paid benefits such as financial wellness programs, educational assistance, matching gifts, and recognition programs.