Novartis Posted September 23, 2026

Associate Director - HPC Infrastructure Architect

Hyderabad (Office), India FULL_TIME
Information Technology Associate Director
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About this opportunity

Scientific computing sits at the centre of how Novartis discovers and develops medicines. Cloud & Hosting Services has established AI & HPC Engineering as the single engineering and delivery channel for high-performance computing, and Architecture & Integration owns the target architecture behind it. The HPC Infrastructure Architect is accountable for that architecture: the compute, storage, interconnect, scheduling and data-locality design that scientific workloads run on, on premises and in the cloud.The role translates scientific demand - molecular modelling, imaging and cryo-electron microscopy, genomics, simulation and increasingly AI-adjacent workloads - into capacity models, workload placement principles and platform patterns. It carries the physical dependencies with it: power, rack and cooling envelopes, high-performance storage tiers, network fabric, and the data centre and colocation footprint that a large campus and site transformation programme is reshaping.This is an individual contributor architecture role in which credibility with scientists matters as much as credibility with infrastructure engineers.

Key Responsibilities:Own the HPC reference architecture: cluster topologies, CPU and GPU node designs, high-performance and tiered storage, interconnect fabric, schedulers and the software stack that supports scientific workflows.Define the scientific workload placement model - which workloads run on dedicated clusters, which burst to cloud, and which belong on AI platforms - based on performance, data gravity, cost and compliance.Produce and maintain capacity plans for compute, accelerators, storage and network, including the power, rack and cooling requirements that data centre and colocation planning depends on.Establish data-locality and data-movement principles across instruments, laboratories, storage tiers, archive and cloud, including replication and recovery approaches for irreplaceable scientific data.Translate scientific requirements into sizing, benchmarking and procurement input, and validate feasibility before engineering build.Maintain architecture decision records for HPC platform choices, connecting each to scientific outcome, cost and lifecycle consequence.Define the interface with AI infrastructure so that shared accelerators, storage and data pipelines are used coherently rather than duplicated.Ensure HPC designs meet security, quality and regulatory expectations and are operable by Infrastructure Operations after handover.Engage scientific communities and research IT partners as the trusted architecture contact for high-performance computing.Coach engineers and analysts, and act as a role model for the Novartis Values and Behaviours.Essential Requirements:8+ years of experience designing, building, or operating large-scale High-Performance Computing (HPC) environments.Proven expertise in HPC platform architecture, capacity planning, and multi-cluster infrastructure design.Strong experience supporting Linux-based compute clusters in enterprise or scientific computing environments.Hands-on knowledge of workload schedulers such as Slurm, LSF, or comparable HPC scheduling technologies.Solid understanding of CPU and GPU infrastructure design, performance optimization, and benchmarking methodologies.Experience with high-performance storage solutions, parallel file systems, and high-speed networking technologies, including InfiniBand and Ethernet fabrics.Knowledge of containerized, reproducible scientific workflows and hybrid or cloud-based HPC environments.Familiarity with large-scale data management practices, including data replication, archiving, and infrastructure planning (power, cooling, and rack design); experience supporting research or scientific computing communities is highly desirable.Desirable Requirements:Able to work fluently with scientists and translate research needs into infrastructure terms; rigorous, evidence-based approach to sizing and benchmarking; long-horizon planning discipline; strong collaboration across engineering, facilities and research organizations.Fluent English, written and spoken. Additional languages are an asset.You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewardsCommitment to Diversity and Inclusion:  Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.   Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network

Job details

Seniority
Associate Director
Function
Information Technology
Therapeutic area
Not listed
Location
Hyderabad (Office), India
Employment type
FULL_TIME

How this role compares

Computed from every other active Information Technology role in our database, not just this employer's listings.

We currently track 469 comparable Associate Director Information Technology roles across 56 biopharma companies.

469Comparable roles tracked
437Currently active
56Companies hiring similar roles
30Countries represented

Salary context

62 of 469 peers report a salary range (USD, annualized)

Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.

This roleSubject Not listed on this posting
Highest disclosed · Sr. AI Science Lead · Lilly $267,000/yr – $391,600/yr
Peer group range $98,050 – $329,300 (median $183,500)

Where these roles are based

Top locations among the 469 comparable roles

India214
United States127
Spain31
Poland13
Portugal9
Greece7

+ 24 more countries

Seniority mix

469 of 469 peers have a known seniority level

Senior272
Manager143
Associate Director54

Therapeutic area mix

1 of 469 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Vaccines & Infectious Disease1

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How we calculate "similar"

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Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.

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Unmatched or unknown dimensions score exactly the same: 0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.