Bachelor's Degree in Electrical Engineering, Computer Engineering, or related field (Master's preferred)
Nice to have
Experience with FPGA-based systems or FPGA solution selling Understanding of high-speed I/O and memory subsystems, multi-axis motion control, and edge AI deployment constraints (latency, power, form f
Full description
Job Details:
##
Job Description:
We are seeking a Business Development Manager to drive growth in FPGA-based solutions across the Physical AI domain – spanning robotics, autonomous systems, industrial and factory automation, and edge AI. This role focuses on expanding design wins across intelligent machines that sense, decide, and act in the physical world, from collaborative robots and autonomous platforms to factory-automation controllers and edge AI appliances. You will act as the bridge between customers, product management, engineering, and ecosystem partners to position FPGA solutions against competing architectures including ASSPs/SoCs, GPUs, and microcontroller-based platforms.
Physical AI is converging perception, decision, and actuation onto real-time machines while pushing more intelligence to the edge, and industrial automation is moving toward connected, software-defined, and AI-enabled factories. FPGAs are uniquely positioned to unify deterministic control, sensor fusion, real-time networking, and edge AI inference on a single adaptable platform. As several of these markets are fast-emerging, the role includes helping establish and scale the market motion – which requires strong technical business leadership at the system level.
Key Responsibilities1. Market Development & Strategy
Identify and prioritize target segments including:
-
Robotics: industrial and collaborative robots (cobots), autonomous mobile robots (AMR/AGV), humanoids, end-of-arm tooling
Autonomous systems: drones / UAVs, autonomous ground and off-road vehicles, autonomous material handling
Industrial and factory automation: PLC / PAC controllers, motion and servo-drive control, machine control, IIoT / edge gateways
Edge AI: edge AI appliances and gateways, smart cameras and sensors, on-premise inference platforms
Track and interpret trends in:
-
Edge AI and on-device inference (model deployment, quantization, AI acceleration)
Multi-sensor fusion (camera, LiDAR, IMU, force / torque)
Centralized vs distributed control architectures (robot, machine, and factory cell)
Deterministic vs GPU-based processing trade-offs
3. Ecosystem & Partnerships
Build and manage relationships with:
-
Sensor, encoder, and actuator / drive vendors
Industrial networking, controls, and automation-software vendors
IP providers and software / AI stack vendors (ROS ecosystem, vision / AI frameworks)
Robotics and automation module makers, ODMs, and system integrators
Enable joint solutions and reference designs to accelerate customer adoption
4. Sales Enablement & Execution
-
Develop high-impact sales collateral including solution briefs, reference architectures (motion control, industrial networking, sensor fusion, edge AI), competitive positioning vs FPGA / SoC / ASSP / GPU / MCU alternatives, and ROI / TCO analyses
Support Sales teams with:
-
Use-case driven messaging for robotics, autonomous systems, industrial automation, and edge AI applications
Customer presentations and technical positioning
Opportunity qualification and deal progression
Deliver presentations at customer meetings, industry events, and trade shows
5. Internal Collaboration
-
Provide structured market feedback to product management and engineering
Influence product direction based on customer needs related to:
Real-time I/O and deterministic networking
Motion-control and safety features
Edge AI capabilities and AI fabric
Power, thermal, and form-factor for embedded, mobile, and industrial deployment
Support pricing discussions and business case development
The pay range below is for Bay Area California only. Actual salary may vary based on a number of factors including job location, job-related knowledge, skills, experiences, trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance.
$166.9K - $241.6K USD
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:Required Qualifications
-
Bachelor's Degree in Electrical Engineering, Computer Engineering, or related field (Master's preferred)
7+ years of experience in:
-
Robotics, industrial / factory automation, autonomous systems, or edge AI / embedded systems
Semiconductor, module, controls, or OEM environments
Strong understanding of:
-
Motion / motor control and real-time systems
Industrial control and networking concepts
Sensor technologies and fusion (camera, LiDAR, IMU, force / torque)
Design-in mindset: Ability to engage early and secure long lifecycle platform wins
System-level thinking: Understanding the complete signal chain from sensing through processing to actuation
Execution focus: Ability to convert opportunities into pipeline and revenue
Customer-centric approach: Strong listening skills and ability to translate requirements into solutions
Ecosystem leverage: Driving wins through partnerships, not just silicon features
KPIs / Success Metrics
-
Design wins and revenue growth across robotics, autonomous systems, industrial automation, and edge AI segments
Number of qualified opportunities identified in motion control, industrial networking, sensor fusion, and edge AI systems
Pipeline growth and forecast accuracy
Engagements with OEMs, automation vendors, module vendors, and system integrators
Contribution to sales enablement and deal progression
##
Job Type:
Regular
##
Shift:
Shift 1 (United States of America)
##
Primary Location:
San Jose, California, United States
##
Additional 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.