LS
EDA Infrastructure - Staff Engineer
Accepting applicationsLattice Semiconductor · Pune District, Maharashtra, India
Full-Time Mid_senior AIFPGAPerlPythonTCL
Estimated market salary
₹45-80 LPA
This is a SiliconBoard market estimate, not an employer-posted salary.
Posted
3d ago
Category
Eda
Experience
Mid_senior
Country
India
About Lattice Semiconductor
Lattice Semiconductor is the low power FPGA leader. We solve customer problems across the network from the Edge to the Cloud with our industry-leading FPGA, video ASSP, millimeter wave, and IP products. Our technology powers a wide range of applications — from smart factories and 5G infrastructure to automotive systems and edge AI.
About the Rol
eWe are looking for a Staff CAD Engineer to join our EDA Infrastructure team in Pune. This is a hands-on, high-impact role where you will manage and optimize compute infrastructure that directly enables Lattice's global chip design teams. You'll work across HPC cluster management, cloud platforms, and automation — and will have the opportunity to innovate with GenAI-based productivity tools
.
What You'll
DoManage and optimize HPC compute clusters using LSF (Load Sharing Facility, IBM/Platform Computin
g)Administer public multi-cloud (AWS, Azure, GCP) and private cloud environmen
tsSupport and maintain display solutions including ETX, VNC, and E
ODOwn HW revision control and release tool manageme
ntManage Compute, Storage, Licensing, Archive, Disaster Recovery, and Remote Desktop infrastructu
reDrive innovation around GenAI applications and productivity automation for design tea
msAdopt and implement best-in-class methodologies to enhance Lattice's CAD capabiliti
esBuild strong working relationships with design and infrastructure teams across global sit
esMentor colleagues and contribute to team capability developme
ntOccasional travel as need
ed
Requir
ed:BS/MS/PhD in Electrical Engineering, Computer Science, Computer Systems, or equival
ent6–10 years of overall experience in EDA or compute infrastruct
ureHands-on experience with HPC cluster management and scheduling software — LSF strongly prefer
redProficiency in TCL (strongly preferred), Python, or Perl script
ingExperience with multi-cloud and private cloud administrat
ionFamiliarity with display solutions such as ETX, VNC, or
EODStrong problem-solving ability with a track record of working independen
tlyProven ability to collaborate across multiple teams and time zo
nesGood to Ha
ve:Exposure to GenAI tools or productivity automation framewo
rksExperience in semiconductor or EDA software environme
ntsFamiliarity with EDA tool licensing and compute capacity plann
ing
Show more Show less
Lattice Semiconductor is the low power FPGA leader. We solve customer problems across the network from the Edge to the Cloud with our industry-leading FPGA, video ASSP, millimeter wave, and IP products. Our technology powers a wide range of applications — from smart factories and 5G infrastructure to automotive systems and edge AI.
About the Rol
eWe are looking for a Staff CAD Engineer to join our EDA Infrastructure team in Pune. This is a hands-on, high-impact role where you will manage and optimize compute infrastructure that directly enables Lattice's global chip design teams. You'll work across HPC cluster management, cloud platforms, and automation — and will have the opportunity to innovate with GenAI-based productivity tools
.
What You'll
DoManage and optimize HPC compute clusters using LSF (Load Sharing Facility, IBM/Platform Computin
g)Administer public multi-cloud (AWS, Azure, GCP) and private cloud environmen
tsSupport and maintain display solutions including ETX, VNC, and E
ODOwn HW revision control and release tool manageme
ntManage Compute, Storage, Licensing, Archive, Disaster Recovery, and Remote Desktop infrastructu
reDrive innovation around GenAI applications and productivity automation for design tea
msAdopt and implement best-in-class methodologies to enhance Lattice's CAD capabiliti
esBuild strong working relationships with design and infrastructure teams across global sit
esMentor colleagues and contribute to team capability developme
ntOccasional travel as need
ed
Requir
ed:BS/MS/PhD in Electrical Engineering, Computer Science, Computer Systems, or equival
ent6–10 years of overall experience in EDA or compute infrastruct
ureHands-on experience with HPC cluster management and scheduling software — LSF strongly prefer
redProficiency in TCL (strongly preferred), Python, or Perl script
ingExperience with multi-cloud and private cloud administrat
ionFamiliarity with display solutions such as ETX, VNC, or
EODStrong problem-solving ability with a track record of working independen
tlyProven ability to collaborate across multiple teams and time zo
nesGood to Ha
ve:Exposure to GenAI tools or productivity automation framewo
rksExperience in semiconductor or EDA software environme
ntsFamiliarity with EDA tool licensing and compute capacity plann
ing
Show more Show less