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Heterogeneous Jobs (NOW HIRING)

The candidate will drive system architecture and workload analysis across heterogeneous compute platforms combining CPUs, DSPs, FPGA fabric, AI accelerators, GPUs, memory subsystems, and high-speed ...

Carry out groundbreaking R&D in high performance ceramic and garnet optical waveguide components and 2D/3D heterogeneous integration processes with advance silicon and InP platform * Initiate and ...

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How much do heterogeneous jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for heterogeneous in the United States is $20.98, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $22.12 per hour, depending on experience, location, and employer.

What are Heterogeneous jobs?

Heterogeneous jobs refer to positions or tasks that involve working with diverse systems, technologies, or components that are different in nature. In computing and engineering, this often means managing or integrating hardware or software from various platforms, architectures, or vendors. These roles require adaptability and a deep understanding of how different systems can communicate and function together efficiently. Heterogeneous jobs are common in environments where interoperability and system integration are crucial for business operations.

What are the key skills and qualifications needed to thrive as a Heterogeneous, and why are they important?

I'm sorry, but 'Heterogeneous' is not a recognized real-world professional occupation, so I cannot provide a relevant response.

What is an example of a secondary job?

A secondary job is an additional position held alongside a primary job, often part-time or freelance, to supplement income or gain experience. For example, a full-time teacher might work as a freelance tutor after school hours. Such roles typically require time management skills and may involve flexible scheduling or specific certifications depending on the field.

What type of jobs are repetitive?

Repetitive jobs are those that involve performing the same tasks or procedures regularly, such as assembly line work, data entry, or manufacturing roles. These jobs often require attention to detail and consistency but may offer less variety in daily tasks.

What is the 3 month rule for jobs?

The 3 month rule in the context of jobs, including roles like Heterogeneous, often refers to a probation or trial period that lasts three months, during which an employer evaluates an employee's performance before offering permanent employment. This period allows both parties to assess fit and may involve specific performance expectations or training. After three months, employees are typically eligible for benefits or permanent status, depending on company policies.

What are the 4 types of jobs?

The four main types of jobs are full-time, part-time, temporary, and freelance or contract positions. Full-time jobs typically offer benefits and a set schedule, while part-time roles have fewer hours. Temporary and freelance jobs often involve short-term projects or independent work, requiring specific skills and flexibility.

What is the difference between Heterogeneous vs Network Engineer?

AspectHeterogeneousNetwork Engineer
Required credentialsVaries widely, often includes certifications in multiple disciplinesTypically Cisco, CompTIA, or similar networking certifications
Work environmentMultidisciplinary, involving various technologies and systemsPrimarily networking hardware and software in IT infrastructure
Employer and industry usageUsed across diverse industries requiring multidisciplinary skillsCommon in IT, telecommunications, and enterprise networks
Search and comparison intentUnderstanding multidisciplinary roles and skillsFocusing on networking-specific skills and certifications

Heterogeneous refers to a broad, multidisciplinary role involving various technologies, while a Network Engineer specializes in designing, implementing, and maintaining network systems. The key difference lies in scope: Heterogeneous roles encompass multiple disciplines, whereas Network Engineers focus specifically on networking infrastructure.

What are some common challenges faced when working as a Heterogeneous Systems Engineer, and how can they be addressed?

As a Heterogeneous Systems Engineer, one of the main challenges is integrating diverse hardware components—such as CPUs, GPUs, and FPGAs—into a seamless computing environment. This often involves troubleshooting compatibility issues, optimizing system performance, and managing communication between different architectures. Collaborating with cross-functional teams, staying updated on emerging technologies, and leveraging industry-standard frameworks can help address these challenges. Regularly testing and profiling systems also play a crucial role in ensuring reliability and efficiency.
More about Heterogeneous jobs
What states have the most Heterogeneous jobs? States with the most job openings for Heterogeneous jobs include:
Infographic showing various Heterogeneous job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $43,637 per year, or $21 per hour.
Physical AI Architect

Physical AI Architect

Altera

San Jose, CA

$133K - $190K/yr

Full-time

Posted 25 days ago


Job description

Job Details:Job Description:

About Altera

At Altera, our independence as the world's largest pureplay FPGA solutions provider gives us the focus, speed, and agility to innovate without compromise. With more than four decades of industryleading FPGA expertise, our singular mission is to deliver the programmable technologies that help customers differentiate, innovate, and scale across rapidly evolving markets like AI, cloud, networking, and edge. As an independent company, we move faster, invest deeper, and partner more closely-empowering our teams to drive breakthrough innovation and shape the future of the FPGA industry.

About the Role

Altera is seeking a PhD-level Engineer/Physical AI Architect to help define the next generation of Physical AI platforms for robotics, industrial automation, machine vision, and autonomous systems. The candidate will drive system architecture and workload analysis across heterogeneous compute platforms combining CPUs, DSPs, FPGA fabric, AI accelerators, GPUs, memory subsystems, and high-speed sensor interfaces. The role will focus on mapping real-world Physical AI workloads to optimized hardware/software architectures and influencing future Altera product roadmaps.

As part of Altera's Embedded Architecture team, you will work across CPU, GPU, Real-Time Unit (RTU), Video, and Physical AI technologies, helping shape the future of heterogeneous computing platforms. You will join a core architecture group at the forefront of innovation, driving technology strategy and influencing next-generation silicon, software, and platform roadmaps. This role provides a unique opportunity to analyze and optimize complex AI, vision, perception, planning, and control workloads across heterogeneous compute engines including CPUs, DSPs, FPGA fabric, GPUs, and AI accelerators, while helping define the architecture of future intelligent systems and programmable computing platforms.

This role will help shape Altera's Physical AI strategy and future programmable computing platforms!

Key Responsibilities

  • Define sensor-to-actuator Physical AI reference architectures.

  • Analyze and partition AI, vision, perception, planning, and control workloads across CPU, DSP, FPGA fabric, GPU, and AI accelerators.

  • Drive architecture tradeoffs involving performance, latency, power, memory bandwidth, and determinism.

  • Develop workload models, benchmarks, and performance projections for robotics and autonomous systems.

  • Collaborate with customers, ecosystem partners, and internal silicon teams to identify future platform requirements.

  • Influence next-generation Altera SoC, FPGA, memory, interconnect, and accelerator roadmaps.

Salary Range

The pay range below is for Bay Area California only. Actual salary may vary based ona number offactors including job location, job-related knowledge, skills, experiences,trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance.

$133,200 - $190,000USD

We use artificial intelligence to screen, assess, or select applicants for the position.Applicants must be eligible for any required U.S. export authorizations.

Qualifications:

Minimum Qualifications:

  • PhD in Electrical Engineering, Computer Engineering, Computer Science, Robotics, or related field.

  • 1+ years of experience and research interest in system architecture, embedded computing, AI acceleration, robotics, or heterogeneous computing.

  • 1+ years understanding of CPU, DSP, FPGA, GPU, AI accelerator, memory, and interconnect architectures.

  • Experience with AI/ML, computer vision, robotics, or autonomous systems workloads.

  • Proven track record of technical leadership, innovation, and architecture definition.

Preferred Qualifications:

  • Experience with ROS2, edge AI, machine vision, autonomous systems, or industrial robotics.

  • Knowledge of FPGA-based acceleration and heterogeneous computing platforms.

  • Publications, patents, or recognized contributions in AI, robotics, or computer architecture.

Job Type: RegularShift:Shift 1 (United States of America)Primary Location:San Jose, California, United StatesAdditional Locations:Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.