Business Development Manager - Machine Vision

Altera•San Jose, CA

2d•$166,900 - $241,600•Onsite

About The Position

We are seeking a Business Development Manager to drive growth in FPGA-based solutions in the global Machine Vision market! This role focuses on expanding design wins across a wide range of vision systems – from entry-level smart cameras to high-end multi-sensor platforms and frame grabbers. You will act as the bridge between customers, product management, engineering, and ecosystem partners to position FPGA solutions against competing architectures including ASSPs, GPUs, and microcontroller-based platforms. Machine vision is shifting toward higher data rates, multi-sensor fusion, and edge AI. FPGAs are uniquely positioned to unify sensing, processing, and control – but winning requires strong technical business leadership at the system level.

Requirements

Bachelor’s Degree in Electrical Engineering, Computer Engineering, or related field (Master’s preferred)
5+ years of experience in: Machine vision, imaging systems, or embedded edge systems; Industrial, Automotive, or Transportation markets
Strong understanding of: Image sensors and camera architectures; ISP and video processing pipelines; Vision algorithms (filtering, segmentation, feature extraction); AI/ML fundamentals (CNN inference pipelines)
Familiarity with key interfaces: SLVS, SLVS-EC, MIPI CSI-2; CoaXPress (CXP), GigE Vision, USB3 Vision
Experience engaging global customers and managing long design cycles
Applicants must be eligible for any required U.S. export authorizations.

Nice To Haves

Experience with FPGA-based systems or FPGA solution selling
Understanding of: High-speed I/O and memory subsystems, PCIe architectures, Edge AI deployment constraints (latency, power, bandwidth)
Familiarity with: Automotive and infrastructure interfaces (e.g., GMSL, FPD-Link, Ethernet-based vision systems)
Awareness of safety-driven design considerations aligned with ISO 26262 & IEC 61508
Prior experience with: Camera OEMs; Frame grabber companies; Vision system integrators
MBA or business training is a plus

Responsibilities

Identify and prioritize target segments including: Factory automation, robotics, logistics, semiconductor inspection; Automotive vision systems (ADAS, surround view, in-cabin monitoring); Transportation systems (smart traffic, transit surveillance, tolling, infrastructure monitoring)
Track and interpret trends in: Sensor technologies (CMOS scaling, global shutter, stacked sensors); Interfaces (SLVS-EC, MIPI CSI-2, CoaXPress, GigE Vision, USB3 Vision); Edge AI and multi-sensor fusion architecture
Build relationships with OEMs, camera manufacturers, Tier-1 suppliers, and system integrators
Drive early-stage engagement with Sales to: Influence system architecture decisions; Position FPGA-based solutions in vision and edge AI systems; Secure design-ins across target applications
Support technical sales discussions spanning: ISP pipelines (HDR, denoising, color processing); Vision pipelines (filtering, segmentation, feature extraction); Edge AI / ML inference (CNN-based workloads)
Engage in system-level discussions
Build and manage relationships with: Sensor and camera module vendors; IP providers and software stack vendors (vision libraries, AI frameworks); Automotive Tier-1 suppliers and transportation system integrators
Enable joint solutions and reference designs to accelerate customer adoption
Develop high-impact sales collateral including, Solution briefs, Reference architectures (multi-camera, edge AI systems), Competitive positioning vs alternative technologies, ROI / TCO analyses
Support Sales teams with: Use-case driven messaging for Automotive and Transportation applications; Customer presentations and technical positioning; Opportunity qualification and deal progression
Deliver presentations at customer meetings, industry events, and trade shows
Provide structured market feedback to product management and engineering
Influence product direction based on customer needs related to: I/O bandwidth and connectivity; Memory architecture; Edge AI capabilities; Packaging and integration
Support pricing discussions and business case development